期刊
IEEE ACCESS
卷 8, 期 -, 页码 120456-120472出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2020.3004913
关键词
Decision-making method; interval type-2 trapezoidal fuzzy preference relations; multiplicative consistency; local consistency adjustment strategy; fuzzy data envelopment analysis
资金
- National Natural Science Foundation of China [71901001, 71871001, 11901150]
- Humanities and Social Sciences Planning Project of the Ministry of Education [20YJAZH066]
- Natural Science Foundation of Anhui Province [2008085QG333, 2008085MG226]
- Key Research Project of Humanities and Social Sciences in Colleges and Universities of Anhui Province [SK2019A0013]
- Construction Fund for Scientific Research Conditions of Introducing Talents in Anhui University [S020118002/085]
- Project of Anhui Ecological and Economic Development Research Center [AHST2019009]
Interval type-2 fuzzy sets (IT2FSs) are useful and valuable tool to describe the decision makers' qualitative evaluation information. This paper designs a novel interval type-2 trapezoidal fuzzy decision-making (IT2TFDM) method, in which the local consistency adjustment strategy (LCAS) and interval type-2 fuzzy data envelopment analysis (DEA) are presented. First, in order to sufficiently describe the uncertain evaluation information, the definition of IT2TrFPRs is introduced, which is followed by the presentation of order consistency and multiplicative consistency for IT2TrFPRs. Then, an approach is proposed to check whether an IT2TrFPR is multiplicative consistent, and we construct a convergent consistency-improving algorithm, wherein the LCAS is utilized to retain the preference evaluation information of decision makers as much as possible. Furthermore, in order to determine the interval type-2 trapezoidal fuzzy priority weight vector, we investigate an interval type-2 trapezoidal fuzzy DEA model. An IT2TFDM method is proposed to obtain the reliable ranking of the alternatives. Finally, a fog-haze influence factor selection problem is given to show the practicality of the proposed IT2TFDM method, and the comparative analysis is carried out to clarify its validity and merits.
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