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Centralized resource allocation model with variable return to scale for fuzzy data

عنوان مقاله: Centralized resource allocation model with variable return to scale for fuzzy data
شناسه ملی مقاله: JR_IJORDS-1-1_001
منتشر شده در شماره 1 دوره 1 فصل در سال 1393
مشخصات نویسندگان مقاله:

Mozhgan Mansouri kaleibar - Faculty of Mathematics, Statistic and Computer Science, Semnan University, Semnan, Iran
Sahand Daneshvar - Department of Industrial Engineering, Eastern Mediterranean University, North Cyprus, and Department of Mathematics, Tabriz Branch, Islamic Azad University, Tabriz, Iran

خلاصه مقاله:
A centralized decision maker (DM) as supervises of its decision making units (DMUs), interest to minimizing the total input consumption and maximizing the total output production. This can be done by maximizing the efficiency of individual units using by conventional DEA models. This paper computes the models which used the above process for fuzzy data. We deal with linear programming problems with fuzzy parameters from the viewpoint of expert's imprecise or fuzzy understanding of the nature of parameters in a problem- formulation process and consider fuzzy linear programming arising from the linear programming problems. The advantages of these models are considered by examples

کلمات کلیدی:
Data envelopment analysis, Centralized resource allocation, Fuzzy linear programming, Fuzzy data

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/351006/