2023
DOI: 10.1109/access.2022.3232371
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Priority Degrees and Distance Measures of Complex Hesitant Fuzzy Sets With Application to Multi-Criteria Decision Making

Abstract: The notion of a complex hesitant fuzzy set (CHFS) is one of the better tools in order to deal with complex information. Since distance plays a crucial role in order to differentiate between two things or sets, in this paper, we first develop a priority degree for the comparison between complex hesitant fuzzy elements (HFEs). Then a variety of distance measures are developed, namely, Complex hesitant normalized Hamming-Hausdorff distance (CHNHHD), Complex hesitant normalized Euclidean-Hausdorff distance (CHNEHD… Show more

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Cited by 8 publications
(5 citation statements)
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“…Moreover, AHP and ANP can be adopted in fuzzy environments to avoid the evaluator's hesitancy [79][80][81]. Also using suitable operation to aggregate the individual perspective, such as, Complex Hesitant Fuzzy Sets and Interval-valued Pythagorean fuzzy information aggregation based on Aczel-Alsina and will provide more efficient results [82,83,84].…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, AHP and ANP can be adopted in fuzzy environments to avoid the evaluator's hesitancy [79][80][81]. Also using suitable operation to aggregate the individual perspective, such as, Complex Hesitant Fuzzy Sets and Interval-valued Pythagorean fuzzy information aggregation based on Aczel-Alsina and will provide more efficient results [82,83,84].…”
Section: Discussionmentioning
confidence: 99%
“…Lourenzutti and Krohling introduced a generalization of the TOPSIS method, which is capable of processing multiple decision makers and different types of information (crisp, interval, fuzzy, and intuitionistic fuzzy numbers) [15]. Khan et al developed an MCDM approach for ranking the effectiveness of COVID-19 tests based on the TOPSIS method and complex hesitant fuzzy sets [16]. More recently, Zheng et al…”
Section: Introductionmentioning
confidence: 99%
“…In agriculture, IFS assist in modelling uncertainty in predicting crop yields based on factors like weather conditions and soil quality [11,14,29]. Furthermore, IFS are instrumental in information security, specifically in modelling uncertainty related to the detection of intrusions and anomalies in computer networks [23,37]. In the realm of intuitionistic fuzzy sets (IFS), an aggregation operator is a mathematical function designed to merge multiple intuitionistic fuzzy sets into a unified intuitionistic fuzzy set [41,40,18].…”
Section: Introductionmentioning
confidence: 99%