ranking with fuzzy data with The secondary goal in order to adding optimal prefix to the feasible area of the CCR Multiplier
محل انتشار: سومین کنفرانس سیستم های تصمیم گیری هوشمند
سال انتشار: 1397
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 380
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شناسه ملی سند علمی:
IDS03_082
تاریخ نمایه سازی: 31 اردیبهشت 1398
چکیده مقاله:
Data envelopment analysis(DEA) models are now widely utilized in various applications for ranking processes. When CCR Model in input orientation with fuzzy data is used for ranking processes by the use of cross- efficiency the alternative optimal solution may be found. As a result, cross- efficiency tables should be achieved. In this case ,the ranking order is notunique, e.g. a Decision Making Unit(dmu) may be included several ranks. In order to resolve this problem, a secondary goal should be determined for selecting the optimal weight so according to this secondary goal a goal weight is selected among alternative optimal solutions. By this study, the secondary goal will be achieved by adding optimal prefix to each DMU (DMUK, k=1,…,n) ; also adding it to the feasible area of CCR multiplier model in an input orientation which has been used to efficiency evaluate the decision-making units with fuzzy inputs and outputs; then,the efficiencyscore of each decision-making units (DMp p=1,....n ) could be obtained in terms of the optimum weights of the other decision-making units (DMUk k=1,....n ); as a result, cross- efficiency table for the fuzzy secondary goal could be created and then ranking process done by ranking fuzzy functions. In addition to measure the efficiency of each unit in relation to the other units in this table, the decision-making units are ranked in general.
کلیدواژه ها:
Data Envelopment Analysis(DEA ) Fuzzy –Data Enevlopment Analysis(F-DEA) ، Ranking ، Fuzzy ranking approach
نویسندگان
Eskandar abdollahi
kerman branch,Islamic Azad University,Tehran,Iran
Frahad Hosseinzadeh Lotfi
Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran