Fatemeh Mojibian
Abstract
It’s more than one decade that industrial development based on the structure of industrial clusters as a new strategy has been planned and administrated by developed industrialized countries. Considering the importance of the role of industrial clusters in economic development programs, providing ...
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It’s more than one decade that industrial development based on the structure of industrial clusters as a new strategy has been planned and administrated by developed industrialized countries. Considering the importance of the role of industrial clusters in economic development programs, providing solutions to improve, progress and development of clusters has always been a concern for researchers and specialists.The aim of this study is to provide a mechanism for pricing process of the product in this industrial-economic phenomenon; So that the structure of the proposed model is defined based on mechanisms and activities of the components of industrial clusters. The proposed pricing process is presented based on the concept of Stackelberg game theory and tariff pricing strategy, and in order to solve the model in production level of cluster, a meta-heuristic genetic algorithm is used. Finally, the performance and efficiency of the proposed model is studied in the form of a numerical example, and using the parameter tuning Taguchi method the optimal value of the model variables are presented. Based on the obtained results, the optimal wholesale price of cluster’s products are determined and each manufacturer select the appropriate tariff based on its optimal demand.
Ameneh Khadivar; Adel Azar; Fatemeh Mojibian
Abstract
By applying fuzzy set theory in game theory, player’s strategies are determined by fuzzy variable with a definite membership function, where the degree of non-membership is stated by supplement of degree of membership, while determining the value of uncertain parameters of decisions may be associated ...
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By applying fuzzy set theory in game theory, player’s strategies are determined by fuzzy variable with a definite membership function, where the degree of non-membership is stated by supplement of degree of membership, while determining the value of uncertain parameters of decisions may be associated with a hesitation degree. Therefore, in this paper, intuitionistic fuzzy variables are used to better describe vague and imprecise information, and also deals with uncertainty and ambiguity in product pricing process. To provide the proposed model, a two-echelon supply chain with one manufacturer and one retailer is considered. For Designing the proposed pricing game, we have considered structure of two-level programming in a Stackelberg game form. Finally, using a numerical example, structural validation and the effectiveness of proposed model is shown in product pricing process
Emad Roghanian; Fatemeh Mojibian
Volume 10, Issue 26 , January 2012, , Pages 35-54
Abstract
In this paper, a novel intuitionist fuzzy TOPSIS method for groupdecision making will be presented. In this method the preferencevalues for an alternative on criteria and the weight values of criteriaare given by experts, using linguistic values of trapezoidal intuitionistfuzzy numbers, and weights of ...
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In this paper, a novel intuitionist fuzzy TOPSIS method for groupdecision making will be presented. In this method the preferencevalues for an alternative on criteria and the weight values of criteriaare given by experts, using linguistic values of trapezoidal intuitionistfuzzy numbers, and weights of decision makers’ opinions areunknown. In proposed method, expected values and weightedaveraging operator for trapezoidal intuitionist fuzzy numbers are usedto induce the weight values of criteria and decision makers’ opinions.Then an algorithm for ranking alternatives is presented undertrapezoidal intuitionist fuzzy environment. Finally, using a numericalexample, the efficiency of new extended TOPSIS method isinvestigated.
