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国际不确定性的量化期刊
影响因子: 4.911 5年影响因子: 3.179 SJR: 1.008 SNIP: 0.983 CiteScore™: 5.2

ISSN 打印: 2152-5080
ISSN 在线: 2152-5099

Open Access

国际不确定性的量化期刊

DOI: 10.1615/Int.J.UncertaintyQuantification.2017020585
pages 475-510

HESITANT TRAPEZOIDAL FUZZY AGGREGATION OPERATORS BASED ON ARCHIMEDEAN t-NORM AND t-CONORM AND THEIR APPLICATION IN MADM WITH COMPLETELY UNKNOWN WEIGHT INFORMATION

Xindong Peng
School of Information Sciences and Engineering, Shaoguan University, Shaoguan, 521005, China

ABSTRACT

In this paper, we investigate the multiple attribute decision-making (MADM) problems in which the attribute values take the form of hesitant trapezoidal fuzzy elements (HTFEs). The existing t-norms and t-conorms, including the algebraic, Einstein, Frank, and Hamacher t-norms and t-conorms, can be regarded as special cases of Archimedean t-norm and t-conorm. Firstly, we develop some new operational laws for HTFEs based on the Archimedean t-norm and t-conorm. Then, based on the operational laws, we define some hesitant trapezoidal fuzzy aggregation operators and their generalizations are also introduced, and some desirable properties and the relationships of these operators are discussed in detail. Meanwhile, we present two objective weight determination methods. Inspired by the idea of dependent aggregation, we propose some dependent hesitant trapezoidal fuzzy aggregation operators: the dependent hesitant trapezoidal fuzzy Frank ordered weighted average (DHTFFOWA) operator and the dependent hesitant trapezoidal fuzzy Frank ordered weighted geometric (DHTFFOWG) operator. Furthermore, we develop an approach to MADM under hesitant trapezoidal fuzzy environment. Finally, an illustrative example for software development project selection is given to verify the developed method and to demonstrate its applicability and validity.


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