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
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home Tsinghua Science and Technology Article
PDF (238 KB)
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline

Expected Value Method for Fuzzy Multiple Attribute Decision Making

Department of Computational Sciences and Mathematics, Guilin University of Electronic Technology, Guilin 541004, China
Show Author Information

Abstract

This paper presents a fuzzy multiple attribute decision-making (FMADM) method in which the attribute weights and decision matrix elements (attribute values) are fuzzy variables. Fuzzy arithmetic and the expected value operator of fuzzy variables are used to develop the expected value method to solve the FMADM problem. A numerical example is given to demonstrate the feasibility and effectiveness of the method.

Keywords

fuzzy multiple attribute decision makingalternative rakingfuzzy variableexpected value operator

References

【1】
【1】
 
 
Crossref Google Scholar
Tsinghua Science and Technology
Volume 11 Issue 1,
February 2006
Pages 102-106
DOI: 10.1016/S1007-0214(06)70161-4

{{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

Cite this Report
Close
Close
Cite this article:
ZENG L. Expected Value Method for Fuzzy Multiple Attribute Decision Making. Tsinghua Science and Technology, 2006, 11(1): 102-106. https://doi.org/10.1016/S1007-0214(06)70161-4

0

Views

0

Downloads

0

Crossref

N/A

Web of Science

0

Scopus

0

CSCD
Received: 16 April 2004
Revised: 28 December 2004
Published: 01 February 2006
© Tsinghua University Press 2006