Hesitant Fuzzy Soft Set and Its Applications in Multicriteria Decision Making

Molodtsov’s soft set theory is a newly emerging mathematical tool to handle uncertainty. However, the classical soft sets are not appropriate to deal with imprecise and fuzzy parameters. This paper aims to extend the classical soft sets to hesitant fuzzy soft sets which are combined by the soft sets...

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Main Authors: Fuqiang Wang, Xihua Li, Xiaohong Chen
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/643785
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author Fuqiang Wang
Xihua Li
Xiaohong Chen
author_facet Fuqiang Wang
Xihua Li
Xiaohong Chen
author_sort Fuqiang Wang
collection DOAJ
description Molodtsov’s soft set theory is a newly emerging mathematical tool to handle uncertainty. However, the classical soft sets are not appropriate to deal with imprecise and fuzzy parameters. This paper aims to extend the classical soft sets to hesitant fuzzy soft sets which are combined by the soft sets and hesitant fuzzy sets. Then, the complement, “AND”, “OR”, union and intersection operations are defined on hesitant fuzzy soft sets. The basic properties such as DeMorgan’s laws and the relevant laws of hesitant fuzzy soft sets are proved. Finally, with the help of level soft set, the hesitant fuzzy soft sets are applied to a decision making problem and the effectiveness is proved by a numerical example.
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publisher Wiley
record_format Article
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spelling doaj-art-9cf23bc5abfb44dc9e05d5fdf4ab1c742025-08-20T02:20:18ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/643785643785Hesitant Fuzzy Soft Set and Its Applications in Multicriteria Decision MakingFuqiang Wang0Xihua Li1Xiaohong Chen2School of Business, Central South University, Changsha, Hunan 410083, ChinaSchool of Business, Central South University, Changsha, Hunan 410083, ChinaSchool of Business, Central South University, Changsha, Hunan 410083, ChinaMolodtsov’s soft set theory is a newly emerging mathematical tool to handle uncertainty. However, the classical soft sets are not appropriate to deal with imprecise and fuzzy parameters. This paper aims to extend the classical soft sets to hesitant fuzzy soft sets which are combined by the soft sets and hesitant fuzzy sets. Then, the complement, “AND”, “OR”, union and intersection operations are defined on hesitant fuzzy soft sets. The basic properties such as DeMorgan’s laws and the relevant laws of hesitant fuzzy soft sets are proved. Finally, with the help of level soft set, the hesitant fuzzy soft sets are applied to a decision making problem and the effectiveness is proved by a numerical example.http://dx.doi.org/10.1155/2014/643785
spellingShingle Fuqiang Wang
Xihua Li
Xiaohong Chen
Hesitant Fuzzy Soft Set and Its Applications in Multicriteria Decision Making
Journal of Applied Mathematics
title Hesitant Fuzzy Soft Set and Its Applications in Multicriteria Decision Making
title_full Hesitant Fuzzy Soft Set and Its Applications in Multicriteria Decision Making
title_fullStr Hesitant Fuzzy Soft Set and Its Applications in Multicriteria Decision Making
title_full_unstemmed Hesitant Fuzzy Soft Set and Its Applications in Multicriteria Decision Making
title_short Hesitant Fuzzy Soft Set and Its Applications in Multicriteria Decision Making
title_sort hesitant fuzzy soft set and its applications in multicriteria decision making
url http://dx.doi.org/10.1155/2014/643785
work_keys_str_mv AT fuqiangwang hesitantfuzzysoftsetanditsapplicationsinmulticriteriadecisionmaking
AT xihuali hesitantfuzzysoftsetanditsapplicationsinmulticriteriadecisionmaking
AT xiaohongchen hesitantfuzzysoftsetanditsapplicationsinmulticriteriadecisionmaking