Aggregating preference ranking with fuzzy Data Envelopment Analysis

A new method of ranking parametric form of fuzzy numbers using value and ambiguity

“…Now in order to make a preference of alternatives a proper ranking of those fuzzy alternatives is essential. Ranking of fuzzy numbers is largely being applied in linear programming problems [31,36,37,38], decision making [1,39,40,41] and risk analysis [28,30,42]. The proposed method can be implemented in these decision-making and risk analysis problems and linear programming problems.…”

A discrete consensus support model for multiple attribute group decision making

“…Therefore, the use of linguistic labels or fuzzy numbers makes expert judgment more reliable and informative for decision making [38,39]. We point out that the discrete support model proposed in this paper can be extended to MAGDM problems under uncertain information conditions (e.g., interval numbers, fuzzy numbers, and linguistic variables).…”

Fuzzy interpretation of efficiency in data envelopment analysis and its application in a non-discretionary model

“…For example, using fuzzy concept, Yeh and Chang [22] aggregated individual judgements as a group judgements and then applied it in a new approach for evaluating alternatives in a multicriteria decision making (MCDM) environment. Zerafat Angiz et al [24][25][26] used a fuzzy structure to select the best alternative in a group decision making environment and Emrouznejad et al [7] used fuzzy DEA in an assignment problem. None of the previous studies however compares DEA with fuzzy concept.…”