نتایج جستجو برای: imprecise data envelopment analysis idea
تعداد نتایج: 4565128 فیلتر نتایج به سال:
in this paper allocating a fixed resource for producing finite projects in order to obtaining a desired level of efficiency will be discussed. note that it is assumed that a vector of limited sources is at hand. this vector of resources can be contained human resource, budget, equipment, and facilities. in any firm there exist different suggestions from subunits for running...
Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of decision-making units (DMUs) that use multiple inputs to produce multiple outputs. The standard DEA models assume that all inputs and outputs are crisp and can be changed at the discretion of management. While crisp input and output data are fundamentally indispensable in the standard DEA evalua...
در این پژوهش وضعیت صنایع در کشور ایران مورد ارزیابی و مقایسه قرار گرفته است . برای این منظور، بر مبنای طبقه بندی استاندارد بین المللی فعالیت های اقتصادی (i.s.i.c) زیرشاخه های دو رقمی صنایع مشخص شده و وضعیت این زیرشاخه ها بر اساس شاخص های منتخب اقتصادی مقایسه و تجزیه و تحلیل میشوند. جهت مقایسع بین زیرشاخه ها و تعیین عملکرد آنها روشهای تحلیل چندگانه بکار برده می شوند. روشهای تحلیل چندگانه به روشه...
Nowadays, with respect to knowledge growth about enterprise sustainability, sustainable supplier selection is considered a vital factor in sustainable supply chain management. On the other hand, usually in real problems, the data are imprecise. One method that is helpful for the evaluation and selection of the sustainable supplier and has the ability to use a variety of data types is data envel...
Data envelopment analysis (DEA) is a non-parametric method for measuring the efficiency of peer operating units that employ multiple inputs to produce multiple outputs. Several DEA methods have been proposed for clustering operating units. However, to the best of our knowledge, the existing methods in the literature do not simultaneously consider the priority between the clusters (classes) and ...
copies of this document for non-commercial purposes by any means, provided that this copyright notice appears on all such copies. This article integrates fuzzy set theory in Data Envelopment Analysis (DEA) framework to compute technical efficiency scores when input and output data are imprecise. The underlying assumption in convectional DEA is that inputs and outputs data are measured with prec...
This paper presents a Genetic Algorithm Fuzzy Data Envelopment Analysis (GA-FDEA) model that caters for optimal selecting of economic indicators for the measurement of relative productivity and performance of financial institutions. Imprecise or uncertain data of financial institutions due to varying monetary policies and market risk were retrieved from Nigeria Stock Exchange Commission and eva...
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