AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (1.6 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Article | Open Access

Complex Hesitant Fuzzy Graph

Department of Basic Sciences, Al-Zarqa University College, Al-Balqa Applied University, Zarqa 313, Jordan
Show Author Information

Abstract

Government policymakers face a problem about illustrating and evaluating strategies and plan to design active communities which need to be assessed for studying the collaboration between ministries. This work aims at proposing a complex hesitant fuzzy graph that represents the collaboration and its factors between ministries. The present graph can transform complex information using two variables, which modify the consistency and performance of hesitant fuzzy graphs in representing information and the phases. The additional variable represents the phase/level/factors of information that may affect the meaning of the information. In addition, three types of products are defined between two complex hesitant fuzzy graphs. The vertex degrees of these new graphs are investigated and proved. Finally, the proposed graphs are illustrated by an application problem of evaluating the cooperation between ministries and inside one ministry to enhance the tool in representing two variables.

References

【1】
【1】
 
 
Fuzzy Information and Engineering
Pages 149-161

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
AbuHijleh EA. Complex Hesitant Fuzzy Graph. Fuzzy Information and Engineering, 2023, 15(2): 149-161. https://doi.org/10.26599/FIE.2023.9270010

2120

Views

245

Downloads

3

Crossref

3

Web of Science

7

Scopus

Received: 05 January 2023
Revised: 15 March 2023
Accepted: 07 April 2023
Published: 30 June 2023
© The Author(s) 2023. Published by Tsinghua University Press.

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).