Hesitant Triangular Fuzzy Information Aggregation Operators Based on Bonferroni Means and Their Application to Multiple Attribute Decision Making

We investigate the multiple attribute decision-making (MADM) problems with hesitant triangular fuzzy information. Firstly, definition and some operational laws of hesitant triangular fuzzy elements are introduced. Then, we develop some hesitant triangular fuzzy aggregation operators based on Bonferr...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Chunyong, Li, Qingguo, Zhou, Xiaoqiang, Yang, Tian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4128225/
https://www.ncbi.nlm.nih.gov/pubmed/25140338
http://dx.doi.org/10.1155/2014/648516
_version_ 1782330107330822144
author Wang, Chunyong
Li, Qingguo
Zhou, Xiaoqiang
Yang, Tian
author_facet Wang, Chunyong
Li, Qingguo
Zhou, Xiaoqiang
Yang, Tian
author_sort Wang, Chunyong
collection PubMed
description We investigate the multiple attribute decision-making (MADM) problems with hesitant triangular fuzzy information. Firstly, definition and some operational laws of hesitant triangular fuzzy elements are introduced. Then, we develop some hesitant triangular fuzzy aggregation operators based on Bonferroni means and discuss their basic properties. Some existing operators can be viewed as their special cases. Next, we apply the proposed operators to deal with multiple attribute decision-making problems under hesitant triangular fuzzy environment. Finally, an illustrative example is given to show the developed method and demonstrate its practicality and effectiveness.
format Online
Article
Text
id pubmed-4128225
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-41282252014-08-19 Hesitant Triangular Fuzzy Information Aggregation Operators Based on Bonferroni Means and Their Application to Multiple Attribute Decision Making Wang, Chunyong Li, Qingguo Zhou, Xiaoqiang Yang, Tian ScientificWorldJournal Research Article We investigate the multiple attribute decision-making (MADM) problems with hesitant triangular fuzzy information. Firstly, definition and some operational laws of hesitant triangular fuzzy elements are introduced. Then, we develop some hesitant triangular fuzzy aggregation operators based on Bonferroni means and discuss their basic properties. Some existing operators can be viewed as their special cases. Next, we apply the proposed operators to deal with multiple attribute decision-making problems under hesitant triangular fuzzy environment. Finally, an illustrative example is given to show the developed method and demonstrate its practicality and effectiveness. Hindawi Publishing Corporation 2014 2014-07-16 /pmc/articles/PMC4128225/ /pubmed/25140338 http://dx.doi.org/10.1155/2014/648516 Text en Copyright © 2014 Chunyong Wang et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wang, Chunyong
Li, Qingguo
Zhou, Xiaoqiang
Yang, Tian
Hesitant Triangular Fuzzy Information Aggregation Operators Based on Bonferroni Means and Their Application to Multiple Attribute Decision Making
title Hesitant Triangular Fuzzy Information Aggregation Operators Based on Bonferroni Means and Their Application to Multiple Attribute Decision Making
title_full Hesitant Triangular Fuzzy Information Aggregation Operators Based on Bonferroni Means and Their Application to Multiple Attribute Decision Making
title_fullStr Hesitant Triangular Fuzzy Information Aggregation Operators Based on Bonferroni Means and Their Application to Multiple Attribute Decision Making
title_full_unstemmed Hesitant Triangular Fuzzy Information Aggregation Operators Based on Bonferroni Means and Their Application to Multiple Attribute Decision Making
title_short Hesitant Triangular Fuzzy Information Aggregation Operators Based on Bonferroni Means and Their Application to Multiple Attribute Decision Making
title_sort hesitant triangular fuzzy information aggregation operators based on bonferroni means and their application to multiple attribute decision making
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4128225/
https://www.ncbi.nlm.nih.gov/pubmed/25140338
http://dx.doi.org/10.1155/2014/648516
work_keys_str_mv AT wangchunyong hesitanttriangularfuzzyinformationaggregationoperatorsbasedonbonferronimeansandtheirapplicationtomultipleattributedecisionmaking
AT liqingguo hesitanttriangularfuzzyinformationaggregationoperatorsbasedonbonferronimeansandtheirapplicationtomultipleattributedecisionmaking
AT zhouxiaoqiang hesitanttriangularfuzzyinformationaggregationoperatorsbasedonbonferronimeansandtheirapplicationtomultipleattributedecisionmaking
AT yangtian hesitanttriangularfuzzyinformationaggregationoperatorsbasedonbonferronimeansandtheirapplicationtomultipleattributedecisionmaking

Ejemplares similares