Some Construction Methods for Pseudo-Overlaps and Pseudo-Groupings and Their Application in Group Decision Making

Author:

García-Zamora Diego1ORCID,Paiva Rui2ORCID,Cruz Anderson34ORCID,Fernandez Javier5ORCID,Bustince Humberto5ORCID

Affiliation:

1. Department of Computer Sciences, University of Jaen, 23071 Jaén, Spain

2. Instituto Federal de Educação, Ciência e Tecnologia do Ceará, Fortaleza 61939-140, Brazil

3. Metrópole Digital Institute, Federal University of Rio Grande do Norte, Natal 59078-900, Brazil

4. Navarra Artificial Intelligence Research Center, 310006 Pamplona, Spain

5. Department of Statistics, Computer Sciences and Mathematics, Public University of Navarra, 31009 Pamplona, Spain

Abstract

In many real-world scenarios, the importance of different factors may vary, making commutativity an unreasonable assumption for aggregation functions, such as overlaps or groupings. To address this issue, researchers have introduced pseudo-overlaps and pseudo-groupings as their corresponding non-commutative generalizations. In this paper, we explore various construction methods for obtaining pseudo-overlaps and pseudo-groupings using overlaps, groupings, fuzzy negations, convex sums, and Riemannian integration. We then show the applicability of these construction methods in a multi-criteria group decision-making problem, where the importance of both the considered criteria and the experts vary. Our results highlight the usefulness of pseudo-overlaps and pseudo-groupings as a non-commutative alternative to overlaps and groupings.

Funder

Spanish Ministry of Universities

Brazilian funding agency CNPq

Publisher

MDPI AG

Subject

Geometry and Topology,Logic,Mathematical Physics,Algebra and Number Theory,Analysis

Reference44 articles.

1. Zhan, Q., Jin, L., Yager, R.R.R., and Mesiar, R. (2023). A novel three-way decision method for interval-valued hesitant fuzzy environment. Soft Comput., 1–19.

2. Averaging aggregation under uncertainty and bipolar preference environments;Jin;Soft Comput.,2023

3. Wieczynski, J., Lucca, G., Borges, E., and Dimuro, G. (December, January 28). Application of the Sugeno Integral in Fuzzy Rule-Based Classification. Proceedings of the Intelligent Systems, PT I, Campinas, Brazil.

4. Beliakov, G., Pradera, A., and Calvo, T. (2007). Aggregation Functions: A Guide for Practitioners; Studies in Fuzziness and Soft Computing, Springer.

5. Overlap functions;Bustince;Nonlinear Anal. Theory Methods Appl.,2010

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3