نتایج جستجو برای: most preferred solution
تعداد نتایج: 1913146 فیلتر نتایج به سال:
Abstract Choosing the Most Preferred Solution (MPS), namely a real or artificial Decision Making Unit (DMU) reflecting decision maker’s preferences over desirable structure of inputs and outputs, is particular importance in Value Efficiency Analysis (VEA). In this paper, we review various MPS choices used VEA literature propose some new, which rely respectively on relative position frontier DMU...
data envelopment analysis (dea) is a technique used to evaluate the relative efficiency of comparable decision making units (dmus) with multiple input-output. it computes a scalar measure of efficiency and discriminates between efficient and inefficient dmus. it can also provide reference units for inefficient dmus without consideration of the decision makers’ (dms) preferences. in this paper, ...
there are many approaches for solving variety combinatorial optimization problems (np-compelete) that devided to exact solutions and approximate solutions. exact methods can only be used for very small size instances due to their expontional search space. for real-world problems, we have to employ approximate methods such as evolutionary algorithms (eas) that find a near-optimal solution in a r...
In practical term any result obtained using an ordered weighted averaging (OWA) operator heavily depends upon the method to determine the weighting vector. Several approaches for obtaining the associated weights have been suggested in the literature, in which none of them took into account the preference of alternatives. This paper presents a method for determining the OWA weights when the pref...
In this paper, we consider the problem of incorporating additional preference information into Value Efficiency Analysis by using the “price” information of inputs and outputs. This is done to improve the accuracy of the estimation of the Value Efficiency Scores. Value Efficiency developed by Halme et al. [1999] is an efficiency concept, which takes into account the decision maker’s preferences...
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