Fuzzy Covering and Partitioning Problems Based on the Expert Valuations: Application in Optimal Choice of Candidates
نویسندگان
چکیده
A new approach in the discrete optimization (partitioning and covering) problems is presented based on the expert knowledge presentations. An a priori uncertain information on the alternatives is given by some probability distribution and an a priori certain information on the knowledge competitions is given by some weights. A new criterion is introduced for a minimal fuzzy covering or partitioning problem which is a minimal value of average misbelief in possible alternatives. A bicriterial problem is obtained using the new criterion and the criterion of minimization of average price of the covering or partitioning. The proposed approach is illustrated by an example for the partitioning problem. Key–Words: Minimal fuzzy covering or partitioning, Minimal compatibility level, Positive and negative discrimination measures, Average misbelief criterion, Bicriterial problem
منابع مشابه
Possibilistic Aggregations in the Discrete Covering Problem: Application in the Problem of Optimal Choice of Alternatives
In this paper a new criterion is introduced for the discrete covering problem. In this criterion the a priori information represented by a possibility measure and a misbelief distribution on alternatives are condensed by aggregation instruments. Using the Dempster-Shafer belief structure and representations of a possibility measure through associated probabilities, a new criterion for discrete ...
متن کاملDesign and Evaluation of a Method for Partitioning and Offloading Web-based Applications in Mobile Systems with Bandwidth Constraints
Computation offloading is known to be among the effective solutions of running heavy applications on smart mobile devices. However, irregular changes of a mobile data rate have direct impacts on code partitioning when offloading is in progress. It is believed that once a rate-adaptive partitioning performed, the replication of such substantial processes due to bandwidth fluctuation can be avoid...
متن کاملSHAPLEY FUNCTION BASED INTERVAL-VALUED INTUITIONISTIC FUZZY VIKOR TECHNIQUE FOR CORRELATIVE MULTI-CRITERIA DECISION MAKING PROBLEMS
Interval-valued intuitionistic fuzzy set (IVIFS) has developed to cope with the uncertainty of imprecise human thinking. In the present communication, new entropy and similarity measures for IVIFSs based on exponential function are presented and compared with the existing measures. Numerical results reveal that the proposed information measures attain the higher association with the existing me...
متن کاملA new last aggregation compromise solution approach based on TOPSIS method with hesitant fuzzy setting to energy policy evaluation
Utilizing renewable energies is identified as one of significant issues for economical and social significance in future human life. Thus, choosing the best renewable energy among renewable energy candidates is more important. To address the issue, multi-criteria group decision making (MCGDM) methods with imprecise information could be employed to solve these problems. The aim of this paper is ...
متن کاملAnalysis of Customer's Expectations and Satisfaction in the Zanjan Municipality Using Fuzzy Multi-Criteria Decision Making (FMCDM) Approach
Customer satisfaction is the most important step in the process of identifying customer expectations. Identify customer expectations ‎without referring to him and get his view, is impossible. In order to identify customer expectations, service suppliers are also using ‎statistical techniques, surveyed their customers. According to the studies, there is no appropriate framework for expectati...
متن کامل