Higher order hesitant fuzzy Choquet integral operator and its application to multiple criteria decision making
B Farhadinia, Uwe Aickelin, HA Khorshidi

TL;DR
This paper introduces a higher order hesitant fuzzy (HOHF) Choquet integral operator that models interactions among criteria in decision making, reflecting their importance and correlations, and demonstrates its effectiveness in energy policy and other decisions.
Contribution
The paper proposes a novel HOHF Choquet integral operator that captures higher order hesitancy and interdependencies among criteria, advancing fuzzy decision-making methods.
Findings
The HOHF Choquet integral effectively models criteria interactions.
It outperforms existing techniques in decision-making scenarios.
Application to energy policy demonstrates practical utility.
Abstract
Generally, the criteria involved in a decision making problem are interactive or inter-dependent, and therefore aggregating them by the use of traditional operators which are based on additive measures is not logical. This verifies that we have to implement fuzzy measures for modelling the interaction phenomena among the criteria.On the other hand, based on the recent extension of hesitant fuzzy set, called higher order hesitant fuzzy set (HOHFS) which allows the membership of a given element to be defined in forms of several possible generalized types of fuzzy set, we encourage to propose the higher order hesitant fuzzy (HOHF) Choquet integral operator. This concept not only considers the importance of the higher order hesitant fuzzy arguments, but also it can reflect the correlations among those arguments. Then,a detailed discussion on the aggregation properties of the HOHF Choquet…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMulti-Criteria Decision Making · Optimization and Mathematical Programming · Maritime Ports and Logistics
