Cooperative decision making in a knowledge grid environment
Future Generation Computer Systems
Fuzzy data envelopment analysis and its application to location problems
Information Sciences: an International Journal
Ranking fuzzy numbers with preference weighting function expectations
Computers & Mathematics with Applications
Credibility assignment in knowledge grid environment
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
Efficiencies of two-stage systems with fuzzy data
Fuzzy Sets and Systems
Efficiency of parallel production systems with fuzzy data
Fuzzy Sets and Systems
Fuzzy stochastic data envelopment analysis with application to base realignment and closure (BRAC)
Expert Systems with Applications: An International Journal
Chance-constrained DEA models with random fuzzy inputs and outputs
Knowledge-Based Systems
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In this paper, a kind of ranking system, called agent-clients evaluation system, is proposed and investigated where there is no such authority with the right to predetermine weights of attributes of the entities evaluated by multiple evaluators for obtaining an aggregated evaluation result from the given fuzzy multiattribute values of these entities. Three models are proposed to evaluate the entities in such a system based on fuzzy inequality relation, possibility, and necessity measures, respectively. In these models, firstly the weights of attributes are automatically sought by fuzzy linear programming (FLP) problems based on the concept of data envelopment analysis (DEA) to make a summing-up assessment from each evaluator. Secondly, the weights for representing each evaluator's credibility are obtained by FLP to make an integrated evaluation of entities from the viewpoints of all evaluators. Lastly, a partially ordered set on a one-dimensional space is obtained so that all entities can be ranked easily. Because the weights of attributes and evaluators are obtained by DEA-based FLP problems, the proposed ranking models can be regarded as fair-competition and self-organizing ones so that the inherent feature of evaluation data can be reflected objectively