Equitable aggregations and multiple criteria analysis
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In th epast decade, increasing interest in equity issues resulted in new methodologies in the area of operations research. This paper deals with the concept of equitably efficient solutions to multiple criteria optimization problems. Multiple criteria optimization usually starts
We investigate multiple criteria group decision-making problems in which there are priority relationships between the decision elements (criteria and experts), and decision information provided by decision makers takes the form of multigranular uncertain linguistic information. F
The problem of aggregating multiple numerical criteria to form overall objective functions is of considerable importance in many disciplines. The ordered weighted averaging (OWA) aggregation, introduced by Yager, uses the weights assigned to the ordered values rather than to the
Most of the existing multiple criteria decision-making methods handle one kind of the information imperfections at the same time. Stochastic methods and fuzzy methods constitute typical examples of these methods. However, several multiple criteria modelizations include simultaneo
In this paper we propose a new distance measure between two preorders where the indifference, strict preference, weak preference and incomparability relations are considered. This distance measure is then used in the aggregation stage of a multiple criteria aggregation procedure
The ${p}$ ,q-quasirung orthopair fuzzy set ( , notation="LaTeX">${q}$ -ROFS) is a potent tool for representing fuzziness and uncertainty compared to the -rung -ROFS). This research aims introduce aggregation technique of -ROFSs with help Aczel–Alsina (AA) operations. We first pro