Non linear Programming
Shadan Sadigh Behzadi
Volume 11, Issue 1 , Spring 2019, , Pages 17-21
Abstract
In this paper, a nonlinear stiff differential equation is solved by using the Rosenbrock iterative method, modified homotpy analysis method and power series method. The approximate solution of this equation is calculated in the form of series which its components are computed by applying a recursive ...
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In this paper, a nonlinear stiff differential equation is solved by using the Rosenbrock iterative method, modified homotpy analysis method and power series method. The approximate solution of this equation is calculated in the form of series which its components are computed by applying a recursive relations. Some numerical examples are studied to demonstrate the accuracy of the presented methods.
Numerical Analysis
Shadan Sadigh behzadi
Volume 11, Issue 2 , Autumn 2019, , Pages 97-105
Abstract
This paper presents an adaptive digital resolution improvement method for extrapolating and recursive analog-to-digital converters (ADCs). The presented adaptively enhanced ADC (AE-ADC) digitally estimates the digital equivalent of the input signal by utilizing an adaptive digital filter (ADF). The least ...
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This paper presents an adaptive digital resolution improvement method for extrapolating and recursive analog-to-digital converters (ADCs). The presented adaptively enhanced ADC (AE-ADC) digitally estimates the digital equivalent of the input signal by utilizing an adaptive digital filter (ADF). The least mean squares (LMS) algorithm also determines the coefficients of the ADF block. In this scheme, the input bandwidth is limited to the Nyquist-rate. This scheme has the ability of enhancing its resolution by one bit through doubling the gain of a low-quality amplifier circuit. Behavioral simulation results are also provided for a 10-bit AE-ADC to verify the usefulness of the approach. Simulation results indicate that the spurious-free dynamic range (SFDR) and signal-to-noise-and-distortion-ratio (SNDR) are 68.8 dB and 55.5 dB, respectively.
abbas shahnavazi; Mehran Nemati Gonbaghi; Seyedeh Faezeh Teymouri; Bahman Ghasemi dakdare
Volume 12, Issue 1 , Spring 2020, , Pages 21-32
Abstract
Nowadays, increasing competition among companies and the huge cost of attracting new customers has led to companies seeking to retain existing customers rather than looking to attract new customers. These factors together have led to the emergence of customer relationship management. Thanks to the development ...
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Nowadays, increasing competition among companies and the huge cost of attracting new customers has led to companies seeking to retain existing customers rather than looking to attract new customers. These factors together have led to the emergence of customer relationship management. Thanks to the development of information and communication technology, especially the Internet, the use of customer relationship management has expanded and facilitated, and electronic customer relationship management has been formed. Customer Relationship Management (EMS) seeks to deepen and empower customer relationships by utilizing a variety of information and communication technologies such as websites. With the aim of identifying key indicators of performance and improving the performance of the Balanced Scorecard, this research paper has attempted to integrate it with Yager’s Fuzzy screening technique. This integrated model was implemented to develop a balanced scorecard for customer relationship management evaluation of companies covered by Parsian Data-Processors Group. The scale of “very important” was set as an acceptable scale for going through the screening process and for agreeing between managers and experts on the most important indicators. The results showed that the five indicators of customer viewpoint including increasing customer support during Purchasing Process and Afterward, Increasing Brand Confidence and Credibility , Participating in the Online Environment, Enhancing Customer Service After Sales, Increasing Customer Satisfaction, Increasing Site Usage and Various Site Capabilities, the four indicators of learning and innovating viewpoint including continuous improvement and modernization of the company's current services, the ability to use the new technologies, knowledge management capabilities in the organization and the ability of the company to learn from the market and to react it, the four indicators of financial viewpoint including Increased profitability; Increased share of online sales, flexibility in financing and increased annual sales , and the four indicators of exchange (processes) viewpoint including increased software update, increased use of advanced technologies compared to competitors; increased and improved use of Technology and Increasing Diversity of Services Offered on the Site (E-mail) have extracted as Key Indicators of Balanced Card Relationship Management Evaluation.
Hossein Erfani
Volume 2, Issue 1 , Winter 2010, , Pages 117-129
Abstract
Imagine you have traveled to an unfamiliar city. Before you start your daily tour around the city, you need to know a good route. In Network Theory (NT), this is the traveling salesman problem (TSP). A dynamic programming algorithm is often used for solving this problem. However, when the road network ...
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Imagine you have traveled to an unfamiliar city. Before you start your daily tour around the city, you need to know a good route. In Network Theory (NT), this is the traveling salesman problem (TSP). A dynamic programming algorithm is often used for solving this problem. However, when the road network of the city is very complicated and dense, which is usually the case, it will take too long for the algorithm to find the shortest path. Furthermore, in reality, things are not as simple as those stated in AT. For instance, the cost of travel for the same part of the city at different times may not be the same. In this project, we have integrated TSP algorithm with AI knowledge-based approach and case-based reasoning in solving the problem. With this integration, knowledge about the geographical information and past cases are used to help TSP algorithm in finding a solution. This approach dramatically reduces the computation time required for minimum tour finding.
K. Shahroudi
Volume 3, Issue 1 , Winter 2011, , Pages 201-219
Abstract
This paper reports a survey and case study research outcomes on the application of Data Envelopment Analysis (DEA) to the ranking method of European Foundation for Quality Management (EFQM) Business Excellence Model in Iran’s Automotive Industry and improving benchmarking process after assessment. ...
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This paper reports a survey and case study research outcomes on the application of Data Envelopment Analysis (DEA) to the ranking method of European Foundation for Quality Management (EFQM) Business Excellence Model in Iran’s Automotive Industry and improving benchmarking process after assessment. Following the global trend, the Iranian industry leaders have introduced the EFQM practice to their supply chain in order to improve the supply base competitiveness during the last four years. A question which is raises is whether the EFQM model can be combined with a mathematical model such as DEA in order to generate a new ranking method and develop or facilitate the benchmarking process. The developed model of this paper is simple. However, it provides some new and interesting insights. The paper assesses the usefulness and capability of the DEA technique to recognize a new scoring system in order to compare the classical ranking method and the EFQM business model. We used this method to identify meaningful exemplar companies for each criterion of the EFQM model then we designed a road map based on realistic targets in the criterion which have currently been achieved by exemplar companies. The research indicates that the DEA approach is a reliable tool to analyze the latent knowledge of scores generated by conducting self- assessments. The Wilcoxon Rank Sum Test is used to compare two scores and the Test of Hypothesis reveals the meaningful relation between the EFQM and DEA new ranking methods. Finally, we drew a road map based on the benchmarking concept using the research results.
Data Envelopment Analysis
G.R. Jahanshahloo; M.R Mozaffari; Z. Sobhan
Volume 4, Issue 1 , Winter 2012, , Pages 304-311
Abstract
In this paper, the cost and income efficiency models have been considered with regard to the multiple objective programming structures. For finding the efficient points in purposed MOLP problem, some various methods like Lexicography & the weighted sum can be used. So by introducing ...
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In this paper, the cost and income efficiency models have been considered with regard to the multiple objective programming structures. For finding the efficient points in purposed MOLP problem, some various methods like Lexicography & the weighted sum can be used. So by introducing the MOLP problem the cost & income efficiencies will be achieved. In the present study, the MOLP problem is converted to an objective function by the weighted sum of the objective function. So we determine the efficient hyperplanes gradient by finding the dual linear programming (LP) problem.
Iyaya C. C. Wanjala
Volume 5, Issue 1 , Winter 2013, , Pages 405-411
Abstract
n this paper, we apply Picard’s Iteration Method followed by Adomian Decomposition Method to solve a nonlinear Singular Cauchy Problem of Euler- Poisson- Darboux Equation. The solution of the problem is much simplified and shorter to arriving at the solution as compared to the technique applied ...
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n this paper, we apply Picard’s Iteration Method followed by Adomian Decomposition Method to solve a nonlinear Singular Cauchy Problem of Euler- Poisson- Darboux Equation. The solution of the problem is much simplified and shorter to arriving at the solution as compared to the technique applied by Carroll and Showalter (1976)in the solution of Singular Cauchy Problem.
Operation Research
Shabnam Jalalat; Mehdi Fadaei; Mahdi Homayounfar
Volume 7, Issue 2 , Autumn 2015, , Pages 839-848
Abstract
Organizational performance is a complex issue given that performance is a multifaceted phenomenon whose components may have distinct managerial priorities and may even be mutually inconsistent. Recently, the balanced scorecard approach (BSC), as an effective multi-criteria evaluation concept received ...
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Organizational performance is a complex issue given that performance is a multifaceted phenomenon whose components may have distinct managerial priorities and may even be mutually inconsistent. Recently, the balanced scorecard approach (BSC), as an effective multi-criteria evaluation concept received much attention in organizational performance measurement. Although the BSC conceptual framework has been widely accepted in the business community, the proper method of implementing the framework remains an issue. Hence, this study has developed a hybrid expert system composition of BSC, Decision Making Trial and Evaluation Laboratory (DEMATEL) and fuzzy inference system (FIS) to evaluate the food producing companies. To this aim, this paper applied a graph theory based technique (DEMATEL) to determine critical criteria of BSC’s perspectives. The results show that “Profit”, “Customer satisfaction”, “Customer communication”, “Innovation management” and “Organizational asset management”, are of more importance in performance evaluation. In the next step, these criteria shape a fuzzy rule based inference system with linguistic variables and the membership functions are adjusted by experts. The results of proposed approach in food industry of Guilan province, Iran, show its applicability for evaluating the food companies.
Supply Chain Management
Hamid Reza Rezaee Kelidbari; Mahdi Homayounfar; Seyyed-e Fatemeh Alavi Foumani
Volume 8, Issue 2 , Autumn 2016, , Pages 87-100
Abstract
One of the important decisions which impacts all firms’ activities is the supplier selection problem. Since the 1950s, several works have addressed this problem by treating different aspects and instances. In this paper, a combined multiple criteria decision making (MCDM) technique (EA-PROMETHEE) ...
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One of the important decisions which impacts all firms’ activities is the supplier selection problem. Since the 1950s, several works have addressed this problem by treating different aspects and instances. In this paper, a combined multiple criteria decision making (MCDM) technique (EA-PROMETHEE) has been applied to implement a proper decision making. To this aim, after reviewing the theoretical background regarding to supplier selection, the extension analysis (EA) is used to determine the importance of criteria and PROMETHEE for appraisal of suppliers based on the criteria. An empirical example illustrated the proposed approach.
linear Programming
Agraj Tripathi; Ram Naresh
Volume 7, Issue 1 , Spring 2015, , Pages 785-813
Abstract
The most urgent public health problem today is to devise effective strategies to minimize the destruction caused by the AIDS epidemic. Mathematical models based on the underlying transmission mechanisms of the AIDS virus can help the medical/scientific community understand and anticipate its spread in ...
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The most urgent public health problem today is to devise effective strategies to minimize the destruction caused by the AIDS epidemic. Mathematical models based on the underlying transmission mechanisms of the AIDS virus can help the medical/scientific community understand and anticipate its spread in different populations and evaluate the potential effectiveness of different approaches for bringing the epidemic under control. In this paper, we present the framework of conventional compartmental models for the spread of HIV infection to investigate the effect of various types of growths of host population. The model presented has been studied qualitatively using stability theory of differential equations. The equilibrium and stability analysis have been carried out by establishing local and global stability results and some inferences have been drawn to understand the spread of the disease. A numerical study in each case is also performed to see the influence of certain parameters on the disease spread and to support the analytical results. The model analysis has also been applied to compare the theoretical results with the known Indian HIV data.
Stochastics Problems
Ahmadreza Zanboori; Karim Zare
Volume 9, Issue 1 , Spring 2017, , Pages 39-47
Abstract
Model identification is an important and complicated step within the autoregressive integrated moving average (ARIMA) methodology framework. This step is especially difficult for integrated series. In this article first investigate Box-Jenkins methodology and its faults in detecting model, and hence ...
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Model identification is an important and complicated step within the autoregressive integrated moving average (ARIMA) methodology framework. This step is especially difficult for integrated series. In this article first investigate Box-Jenkins methodology and its faults in detecting model, and hence have discussed the problem of outliers in time series. By using this optimization method, we will overcome this problem. The method that used in this paper is better than the Box-Jenkins in term of optimality time.
Supply Chain Management
Ataollah Taleghani; Mohammad Taleghani; mohsen shafieyan
Volume 10, Issue 1 , Spring 2018, , Pages 31-39
Abstract
An important issue for suppliers, producers, and retailers who want to compete in a competitive environment is continuous performance improvement in a dynamic supply chain. Literature review on supply chain puts more emphasis on quantitative factors than other factors. In this research, we focus on quantitative ...
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An important issue for suppliers, producers, and retailers who want to compete in a competitive environment is continuous performance improvement in a dynamic supply chain. Literature review on supply chain puts more emphasis on quantitative factors than other factors. In this research, we focus on quantitative factors which affect competitive advantages creation and investigation. Our goal is to examine the qualitative factors which affect the supply chain management (e.g. supply chain uncertainty, plant location, and manufacturing practices) based on performance evaluation models and at last we give some solutions to improve the performance. Questionnaire was used to collect data and regression statistical method to examine the research hypothesis. According to the results, plant location, supply chain uncertainty and manufacturing practices factors influenced petrochemical industry supply chain performance.
Data Envelopment Analysis
Sadegh Heidary; Ehsan Zanburi; Hhamid Parvin
Volume 10, Issue 2 , Autumn 2018, , Pages 101-112
Abstract
Efficiency and evaluation is one of the main and most important demands of organizations, companies and institutions. As these organizations deal with a large amount of data, therefore, it is necessary to evaluate them on the basis of scientific methods to improve their efficiency. Data envelopment analysis ...
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Efficiency and evaluation is one of the main and most important demands of organizations, companies and institutions. As these organizations deal with a large amount of data, therefore, it is necessary to evaluate them on the basis of scientific methods to improve their efficiency. Data envelopment analysis is a suitable method for measuring the efficiency and performance of organizations. This paper has been conducted to evaluate the performance and efficiency of decision making units. First, using the data envelopment analysis, the BCC output oriented model, these units are ranked and the shortcoming of the model in terms of efficacy measurement and separation are determined. Then, to overcome such problems, a combined method of data envelopment analysis; the BCC output oriented model and artificial neural network are used to evaluate the efficiency of these units and finally the results of the two models are compared.Given the efficiency obtained with the BCC output oriented method, it was observed that the amount of efficiency for some units which leads for these units not to be ranked but using the proposed NEURO-DEA method, no two units have the same efficiency and given the obtained efficiency, these units can be evaluated and ranked.
Hamideh Ebrahimi
Volume 11, Issue 1 , Spring 2019, , Pages 23-32
Abstract
In this paper, the wavelet method based on the Chebyshev polynomials of the second kind is introduced and used to solve systems of integral equations. Operational matrices of integration, product, and derivative are obtained for the second kind Chebyshev wavelets which will be used to convert the system ...
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In this paper, the wavelet method based on the Chebyshev polynomials of the second kind is introduced and used to solve systems of integral equations. Operational matrices of integration, product, and derivative are obtained for the second kind Chebyshev wavelets which will be used to convert the system of integral equations into a system of algebraic equations. Also, the error is analyzed and at the end, some examples are presented to demonstrate the efficiency and the validity of the proposed method.
Non linear Programming
Masomeh Abbasi
Volume 11, Issue 2 , Autumn 2019, , Pages 107-113
Abstract
In this paper, a new model based on differential-algebraic equations(DAEs) for solving convex quadratic programming(CQP) problems is proposed. It is proved that the new approach is guaranteed to generate optimal solutions for this class of optimization problems. This paper also shows that the conventional ...
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In this paper, a new model based on differential-algebraic equations(DAEs) for solving convex quadratic programming(CQP) problems is proposed. It is proved that the new approach is guaranteed to generate optimal solutions for this class of optimization problems. This paper also shows that the conventional interior point methods for solving (CQP) problems can be viewed as a special case of the new DAEs methods. Numerical results show the efficiency of the proposed model.
Operation Research
Nasiru Salihu; Mathew Remilekun Odekunle; Mohammed Yusuf Waziri; Abubakar Sani Halilu
Volume 12, Issue 1 , Spring 2020, , Pages 33-44
Abstract
There exist large varieties of conjugate gradient algorithms. In order to take advantage of the attractive features of Liu and Storey (LS) and Conjugate Descent (CD) conjugate gradient methods, we suggest hybridization of these methods in which the parameter is computed as a convex combination ...
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There exist large varieties of conjugate gradient algorithms. In order to take advantage of the attractive features of Liu and Storey (LS) and Conjugate Descent (CD) conjugate gradient methods, we suggest hybridization of these methods in which the parameter is computed as a convex combination of and respectively which the conjugate gradient (update) parameter was obtained from Secant equation. The algorithm generates descent direction and when the iterate jam, the direction satisfy sufficient descent condition. We report numerical results demonstrating the efficiency of our method. The hybrid computational scheme outperform or comparable with known conjugate gradient algorithms. We also show that our method converge globally using strong Wolfe condition.
H. Jafari; M. Saeidy; M. Arab Firoozjaee
Volume 2, Issue 2 , Summer 2010, , Pages 130-138
Abstract
In this paper, nonlinear Klein-Gordon equation with quadratic term is solved by means of an analytic technique, namely the Homotopy analysis method (HAM).Comparisons are made between the Adomian decomposition method (ADM), the exact solution and homotopy analysis method. The results reveal that the proposed ...
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In this paper, nonlinear Klein-Gordon equation with quadratic term is solved by means of an analytic technique, namely the Homotopy analysis method (HAM).Comparisons are made between the Adomian decomposition method (ADM), the exact solution and homotopy analysis method. The results reveal that the proposed method is very effective and simple.
Tanka Nath Dhamala; Shree Ram Khadka
Volume 3, Issue 2 , Summer 2011, , Pages 220-246
Abstract
Research interests have been focused on the concept of penalizing jobs both for being early and for being tardy because not only of modern competitive industrial challenges of providing a variety of products at a very low cost by smoothing productions but also of its increasing and exciting computer ...
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Research interests have been focused on the concept of penalizing jobs both for being early and for being tardy because not only of modern competitive industrial challenges of providing a variety of products at a very low cost by smoothing productions but also of its increasing and exciting computer applications. Here, sequencing approaches of the mixed- model just-in-time production systems is reviewed. In this note, realizing a need of critical review, a survey on the elegant mathematical models, methods and complexity of the mixed- model just-in-time sequencing problem with an insight into the existing analytical literature is given. The established research results together with open problems and possible extensions are presented.
A. Kumar; A. Bansal; A. Neetu
Volume 4, Issue 2 , Summer 2012, , Pages 312-323
Abstract
Different methods have been proposed for finding the non-negative solution of fully fuzzy linear system (FFLS) i.e. fuzzy linear system with fuzzy coefficients involving fuzzy variables. To the best of our knowledge, there is no method in the literature for finding the non-negative solution ...
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Different methods have been proposed for finding the non-negative solution of fully fuzzy linear system (FFLS) i.e. fuzzy linear system with fuzzy coefficients involving fuzzy variables. To the best of our knowledge, there is no method in the literature for finding the non-negative solution of a FFLS without any restriction on the coefficient matrix. In this paper a new computational method is proposed to solve FFLS without any restriction on the coefficient matrix by representing all the parameters as trapezoidal fuzzy numbers.
Shree Ram Khadka; Tanka Nath Dhamala
Volume 5, Issue 2 , Summer 2013, , Pages 412-425
Abstract
The product rate variation problem minimizes the variation in the rate at which different models of a common base product are produced on the assembly lines with the assumption of negligible switch-over cost and unit processing time for each copy of each model. The assumption of significant setup and ...
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The product rate variation problem minimizes the variation in the rate at which different models of a common base product are produced on the assembly lines with the assumption of negligible switch-over cost and unit processing time for each copy of each model. The assumption of significant setup and arbitrary processing times forces the problem to be a two phase problem. The first phase determines the size and the number of batches and the second one sequences the batches of models. In this paper, the bottleneck case i.e. the min-max case of the problem with a generalized objective function is formulated. A Pareto optimal solution is proposed and a relation between optimal sequences for the problem with different objective functions is investigated.
S.H. Nasseri; S. Mizuno
Volume 6, Issue 1 , Winter 2014, , Pages 720-729
Abstract
Ranking fuzzy numbers plays a very important role in linguistic decision making and other fuzzy application systems. In spite of many ranking methods, no one can rank fuzzy numbers with human intuition consistently in all cases. Shortcoming are found in some of the convenient methods for ranking triangular ...
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Ranking fuzzy numbers plays a very important role in linguistic decision making and other fuzzy application systems. In spite of many ranking methods, no one can rank fuzzy numbers with human intuition consistently in all cases. Shortcoming are found in some of the convenient methods for ranking triangular fuzzy numbers such as the coefficient of variation (CV index), distance between fuzzy sets, centroid point and original point, and also weighted mean value. In this paper, we introduce a new method for ranking triangular fuzzy number to overcome the shortcomings of the previous techniques. Finally, we compare our method with some convenient methods for ranking fuzzy numbers to illustrate the advantage our method.
linear Programming
S.H Nasseri; E. Darban Jafari; R. Chameh
Volume 7, Issue 2 , Autumn 2015, , Pages 849-855
Abstract
Many ranking methods have been proposed so far. However, there is yet no method that can always give a satisfactory solution to every situation; some are counterintuitive, not discriminating; some use only the local information of fuzzy values; some produce different ranking for the same situation. For ...
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Many ranking methods have been proposed so far. However, there is yet no method that can always give a satisfactory solution to every situation; some are counterintuitive, not discriminating; some use only the local information of fuzzy values; some produce different ranking for the same situation. For overcoming the above problems, we propose a new method for ranking fuzzy quantities based on the distance method. Then, an application of using fuzzy ordering in the fuzzy mathematical programming as well as fuzzy primal simplex algorithm is indicated. In particular, we emphasize that the fuzzy ordering will be useful when a decision maker needs to evaluate the optimality condition in any solving process.
Strategic Management
hari krishna Tata
Volume 8, Issue 1 , Spring 2016, , Pages 29-36
Abstract
In the paper an attempt was made to study the performance of Indian Banks with the help of CAMEL(C-Capital Adequacy, A- Asset Quality, M- Management Quality, E-Earnings, L-Liquidity i.e. CAMEL) rating system, over the period of five years from (2011 to 2015) and then evaluated out the efficiency of banks ...
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In the paper an attempt was made to study the performance of Indian Banks with the help of CAMEL(C-Capital Adequacy, A- Asset Quality, M- Management Quality, E-Earnings, L-Liquidity i.e. CAMEL) rating system, over the period of five years from (2011 to 2015) and then evaluated out the efficiency of banks with the help of GRA (Grey Relation Analysis) technique there by gaining confidence from investors and ranking them accordingly. The paper studied the influence of the degree of every performance factors through grey relational analysis and there by ranked the performance of every bank. The result thus obtained is compared with that of the Ranks obtained by CAMEL method. The research finding suggests that some banks are in advantage situation and thereby hinting at the possibility of further improvisation. Banks show marked consistency in their efficiency level during the period under study
Operation Research
S.H Nasseri; Davod Darvishi
Volume 8, Issue 2 , Autumn 2016, , Pages 101-110
Abstract
In the process of milk production, the highest cost relates to animal feed. Based on reports provided by the experts, around seventy percent of dairy livestock costs included feed costs. In order to minimize the total price of livestock feed, according to the limits of feed sources in each region or ...
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In the process of milk production, the highest cost relates to animal feed. Based on reports provided by the experts, around seventy percent of dairy livestock costs included feed costs. In order to minimize the total price of livestock feed, according to the limits of feed sources in each region or season, and also the transportation and maintenance costs and ultimately milk price reduction, optimization of the livestock nutrition program is an essential issue. Because of the uncertainty and lack of precision in the optimal food ration done with existing methods based on linear programming, there is a need to use appropriate methods to meet this purpose. Therefore, in this study formulation of completely mixed nutrient diets of dairy cows is done by using a fuzzy linear programming in early lactation. Application of fuzzy optimization method and floating price make it possible to formulate and change the completely mixed diets with adequate safety margins. Therefore, applications of fuzzy methods in feed rations of dairy cattle are recommended to optimize the diets. Obviously, it would be useful to design suitable software, which provides the possibility of using floating prices to set feed rations by the use of fuzzy optimization method.
Strategic Management
Maryam KamalZade Gilani; Seyyed Mahmoud Shabgoo Monsef
Volume 9, Issue 1 , Spring 2017, , Pages 49-55
Abstract
Tourism as a necessity for economic development in many countries, therefore, in this study we intended to investigate the strengths, weaknesses, opportunities and threats of Halal tourism in Gilan province, by using SWOT model to introduce strategic solutions to further developments. This study is practical ...
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Tourism as a necessity for economic development in many countries, therefore, in this study we intended to investigate the strengths, weaknesses, opportunities and threats of Halal tourism in Gilan province, by using SWOT model to introduce strategic solutions to further developments. This study is practical based on questionnaire in terms of practical objectives, in terms of data collection. The population of this study was 25 tourism experts, which according to Morgan table, 24 people were selected as sample size.To identify relationships and priority setting criteria , at first internal and external factors were identified and then multi-criteria decision-making models and AHP model was used. After that by using internal factors evaluation matrix (IFE) and external (EFE) final weight determined and at the end the model was design and the strengths, weaknesses, opportunities, threats were analyzed .The result of SWOT analysis in this research indicates that strategies for Gilan provinces according its environmental strengths and opportunities should be offensive strategy. Surveys show that due to the diversity of tourist attractions and geographical location of Gilan province, this province has the necessary capabilities to develop Halal tourism
