Application of Choquet Integral-Fuzzy Measures for Aggregating Customers’ Satisfaction

Choquet integral is a type of aggregation operator that is commonly used to aggregate the interrelated information. Nowadays, this operator has been successfully embedded with fuzzy measures in solving various evaluation problems. Inspired from this new development, this paper aims to introduce a co...

Full description

Saved in:
Bibliographic Details
Main Authors: Lazim Abdullah, Noor Azzah Awang, Mahmod Othman
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Advances in Fuzzy Systems
Online Access:http://dx.doi.org/10.1155/2021/2319004
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832561527265165312
author Lazim Abdullah
Noor Azzah Awang
Mahmod Othman
author_facet Lazim Abdullah
Noor Azzah Awang
Mahmod Othman
author_sort Lazim Abdullah
collection DOAJ
description Choquet integral is a type of aggregation operator that is commonly used to aggregate the interrelated information. Nowadays, this operator has been successfully embedded with fuzzy measures in solving various evaluation problems. Inspired from this new development, this paper aims to introduce a combined Choquet integral-fuzzy measures (CI-FM) operator that uses the Shapley value standard and interaction index to deal with the interactions between elements of information. The proposed operator takes into account not only the importance of elements or their ordered positions but also the interaction among criteria during the evaluation process. A case of customers’ satisfaction over two fast restaurants in Malaysia is presented to illustrate the application of the proposed aggregation operator. Based on three customers’ satisfaction criteria, restaurant 1 and restaurant 2 received CI-FM scores of 0.711011 and 0.704945, respectively. Interestingly, the criterion “services” constantly received the highest rating across both restaurants. In addition, the proposed aggregation operator successfully identified which restaurant is superior in the eyes of customers. Finally, this study offers some research ideas for the future.
format Article
id doaj-art-c280bea87b51428796183122e1268df1
institution Kabale University
issn 1687-7101
1687-711X
language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Advances in Fuzzy Systems
spelling doaj-art-c280bea87b51428796183122e1268df12025-02-03T01:24:51ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2021-01-01202110.1155/2021/23190042319004Application of Choquet Integral-Fuzzy Measures for Aggregating Customers’ SatisfactionLazim Abdullah0Noor Azzah Awang1Mahmod Othman2Management Science Research Group, Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Kuala Nerus 21030, MalaysiaFaculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam 40450, Selangor, MalaysiaFundamental and Applied Sciences Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak, MalaysiaChoquet integral is a type of aggregation operator that is commonly used to aggregate the interrelated information. Nowadays, this operator has been successfully embedded with fuzzy measures in solving various evaluation problems. Inspired from this new development, this paper aims to introduce a combined Choquet integral-fuzzy measures (CI-FM) operator that uses the Shapley value standard and interaction index to deal with the interactions between elements of information. The proposed operator takes into account not only the importance of elements or their ordered positions but also the interaction among criteria during the evaluation process. A case of customers’ satisfaction over two fast restaurants in Malaysia is presented to illustrate the application of the proposed aggregation operator. Based on three customers’ satisfaction criteria, restaurant 1 and restaurant 2 received CI-FM scores of 0.711011 and 0.704945, respectively. Interestingly, the criterion “services” constantly received the highest rating across both restaurants. In addition, the proposed aggregation operator successfully identified which restaurant is superior in the eyes of customers. Finally, this study offers some research ideas for the future.http://dx.doi.org/10.1155/2021/2319004
spellingShingle Lazim Abdullah
Noor Azzah Awang
Mahmod Othman
Application of Choquet Integral-Fuzzy Measures for Aggregating Customers’ Satisfaction
Advances in Fuzzy Systems
title Application of Choquet Integral-Fuzzy Measures for Aggregating Customers’ Satisfaction
title_full Application of Choquet Integral-Fuzzy Measures for Aggregating Customers’ Satisfaction
title_fullStr Application of Choquet Integral-Fuzzy Measures for Aggregating Customers’ Satisfaction
title_full_unstemmed Application of Choquet Integral-Fuzzy Measures for Aggregating Customers’ Satisfaction
title_short Application of Choquet Integral-Fuzzy Measures for Aggregating Customers’ Satisfaction
title_sort application of choquet integral fuzzy measures for aggregating customers satisfaction
url http://dx.doi.org/10.1155/2021/2319004
work_keys_str_mv AT lazimabdullah applicationofchoquetintegralfuzzymeasuresforaggregatingcustomerssatisfaction
AT noorazzahawang applicationofchoquetintegralfuzzymeasuresforaggregatingcustomerssatisfaction
AT mahmodothman applicationofchoquetintegralfuzzymeasuresforaggregatingcustomerssatisfaction