The Interval-Valued Intuitionistic Fuzzy Optimized Weighted Bonferroni Means and Their Application

We investigate and propose two new Bonferroni means, that is, the optimized weighted BM (OWBM) and the generalized optimized weighted BM (GOWBM), whose characteristics are to reflect the preference and interrelationship of the aggregated arguments and can satisfy the basic properties of the aggregat...

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Main Authors: Ya-ming Shi, Jian-min He
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2013/981762
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author Ya-ming Shi
Jian-min He
author_facet Ya-ming Shi
Jian-min He
author_sort Ya-ming Shi
collection DOAJ
description We investigate and propose two new Bonferroni means, that is, the optimized weighted BM (OWBM) and the generalized optimized weighted BM (GOWBM), whose characteristics are to reflect the preference and interrelationship of the aggregated arguments and can satisfy the basic properties of the aggregation techniques simultaneously. Further, we propose the interval-valued intuitionistic fuzzy optimized weighted Bonferroni mean (IIFOWBM) and the generalized interval-valued intuitionistic fuzzy optimized weighted Bonferroni mean (GIIFOWBM) and detailed study of their desirable properties such as idempotency, monotonicity, transformation, and boundary. Finally, based on IIFOWBM and GIIFOWBM, we give an approach to group decision making under the interval-valued intuitionistic fuzzy environment and utilize a practical case involving the assessment of a set of agroecological regions in Hubei Province, China, to illustrate the developed methods.
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spelling doaj-art-76965559d9c249db812fa496c0aa32482025-08-20T02:07:16ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/981762981762The Interval-Valued Intuitionistic Fuzzy Optimized Weighted Bonferroni Means and Their ApplicationYa-ming Shi0Jian-min He1School of Economics and Management, Southeast University, Nanjing 211189, ChinaSchool of Economics and Management, Southeast University, Nanjing 211189, ChinaWe investigate and propose two new Bonferroni means, that is, the optimized weighted BM (OWBM) and the generalized optimized weighted BM (GOWBM), whose characteristics are to reflect the preference and interrelationship of the aggregated arguments and can satisfy the basic properties of the aggregation techniques simultaneously. Further, we propose the interval-valued intuitionistic fuzzy optimized weighted Bonferroni mean (IIFOWBM) and the generalized interval-valued intuitionistic fuzzy optimized weighted Bonferroni mean (GIIFOWBM) and detailed study of their desirable properties such as idempotency, monotonicity, transformation, and boundary. Finally, based on IIFOWBM and GIIFOWBM, we give an approach to group decision making under the interval-valued intuitionistic fuzzy environment and utilize a practical case involving the assessment of a set of agroecological regions in Hubei Province, China, to illustrate the developed methods.http://dx.doi.org/10.1155/2013/981762
spellingShingle Ya-ming Shi
Jian-min He
The Interval-Valued Intuitionistic Fuzzy Optimized Weighted Bonferroni Means and Their Application
Journal of Applied Mathematics
title The Interval-Valued Intuitionistic Fuzzy Optimized Weighted Bonferroni Means and Their Application
title_full The Interval-Valued Intuitionistic Fuzzy Optimized Weighted Bonferroni Means and Their Application
title_fullStr The Interval-Valued Intuitionistic Fuzzy Optimized Weighted Bonferroni Means and Their Application
title_full_unstemmed The Interval-Valued Intuitionistic Fuzzy Optimized Weighted Bonferroni Means and Their Application
title_short The Interval-Valued Intuitionistic Fuzzy Optimized Weighted Bonferroni Means and Their Application
title_sort interval valued intuitionistic fuzzy optimized weighted bonferroni means and their application
url http://dx.doi.org/10.1155/2013/981762
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