Generalized Fuzzy Bonferroni Harmonic Mean Operators and Their Applications in Group Decision Making

The Bonferroni mean (BM) operator is an important aggregation technique which reflects the correlations of aggregated arguments. Based on the BM and harmonic mean operators, H. Sun and M. Sun (2012) developed the fuzzy Bonferroni harmonic mean (FBHM) and fuzzy ordered Bonferroni harmonic mean (FOBHM...

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Main Authors: Jin Han Park, Eun Jin Park
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2013/604029
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author Jin Han Park
Eun Jin Park
author_facet Jin Han Park
Eun Jin Park
author_sort Jin Han Park
collection DOAJ
description The Bonferroni mean (BM) operator is an important aggregation technique which reflects the correlations of aggregated arguments. Based on the BM and harmonic mean operators, H. Sun and M. Sun (2012) developed the fuzzy Bonferroni harmonic mean (FBHM) and fuzzy ordered Bonferroni harmonic mean (FOBHM) operators. In this paper, we study desirable properties of these operators and extend them, by considering the correlations of any three aggregated arguments instead of any two, to develop generalized fuzzy weighted Bonferroni harmonic mean (GFWBHM) operator and generalized fuzzy ordered weighted Bonferroni harmonic mean (GFOWBHM) operator. In particular, all these operators can be reduced to aggregate interval or real numbers. Then based on the GFWBHM and GFOWBHM operators, we present an approach to multiple attribute group decision making and illustrate it with a practical example.
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spelling doaj-art-4959a108d4a9446a8937c96a0f4972fb2025-02-03T05:58:15ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/604029604029Generalized Fuzzy Bonferroni Harmonic Mean Operators and Their Applications in Group Decision MakingJin Han Park0Eun Jin Park1Department of Applied Mathematics, Pukyong National University, Busan 608-737, Republic of KoreaDepartment of Applied Mathematics, Pukyong National University, Busan 608-737, Republic of KoreaThe Bonferroni mean (BM) operator is an important aggregation technique which reflects the correlations of aggregated arguments. Based on the BM and harmonic mean operators, H. Sun and M. Sun (2012) developed the fuzzy Bonferroni harmonic mean (FBHM) and fuzzy ordered Bonferroni harmonic mean (FOBHM) operators. In this paper, we study desirable properties of these operators and extend them, by considering the correlations of any three aggregated arguments instead of any two, to develop generalized fuzzy weighted Bonferroni harmonic mean (GFWBHM) operator and generalized fuzzy ordered weighted Bonferroni harmonic mean (GFOWBHM) operator. In particular, all these operators can be reduced to aggregate interval or real numbers. Then based on the GFWBHM and GFOWBHM operators, we present an approach to multiple attribute group decision making and illustrate it with a practical example.http://dx.doi.org/10.1155/2013/604029
spellingShingle Jin Han Park
Eun Jin Park
Generalized Fuzzy Bonferroni Harmonic Mean Operators and Their Applications in Group Decision Making
Journal of Applied Mathematics
title Generalized Fuzzy Bonferroni Harmonic Mean Operators and Their Applications in Group Decision Making
title_full Generalized Fuzzy Bonferroni Harmonic Mean Operators and Their Applications in Group Decision Making
title_fullStr Generalized Fuzzy Bonferroni Harmonic Mean Operators and Their Applications in Group Decision Making
title_full_unstemmed Generalized Fuzzy Bonferroni Harmonic Mean Operators and Their Applications in Group Decision Making
title_short Generalized Fuzzy Bonferroni Harmonic Mean Operators and Their Applications in Group Decision Making
title_sort generalized fuzzy bonferroni harmonic mean operators and their applications in group decision making
url http://dx.doi.org/10.1155/2013/604029
work_keys_str_mv AT jinhanpark generalizedfuzzybonferroniharmonicmeanoperatorsandtheirapplicationsingroupdecisionmaking
AT eunjinpark generalizedfuzzybonferroniharmonicmeanoperatorsandtheirapplicationsingroupdecisionmaking