publication . Article . Other literature type . 2012

APPROACHES TO LENIENCY REDUCTION IN MULTI-CRITERIA DECISION MAKING WITH INTERVAL-VALUED FUZZY SETS AND AN EXPERIMENTAL ANALYSIS

TING-YU CHEN;
Open Access
  • Published: 01 Jan 2012 Journal: International Journal of Information Technology and Decision Making, volume 11, issue 3, pages 579-608
  • Publisher: World Scientific Pub Co Pte Lt
Abstract
The purpose of this paper is to present a useful method for estimating the importance of criteria and reducing the leniency bias in multiple criteria decision analysis based on interval-valued fuzzy sets. Several types of net predispositions are defined to represent an aggregated effect of interval-valued fuzzy evaluations. The suitability function for measuring the overall evaluation of each alternative is then determined based on simple additive weighting (SAW) methods. Because positive or negative leniency may exist when most criteria are assigned unduly high or low ratings, respectively, deviation variables are introduced to mitigate the effects of overestim...
Subjects
free text keywords: Leniency bias, multiple criteria decision analysis, interval-valued fuzzy set, integrated programming model, experimental analysis, 62C86, 90B50
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publication . Article . Other literature type . 2012

APPROACHES TO LENIENCY REDUCTION IN MULTI-CRITERIA DECISION MAKING WITH INTERVAL-VALUED FUZZY SETS AND AN EXPERIMENTAL ANALYSIS

TING-YU CHEN;