The R & D project selection problem with fuzzy coefficients

This paper deals with the multicriteria project selection problem subject to linear constraints, with zero-one decision variables. Linguistic rather than numerical values are used in the project appraisals for each criterion, with their meanings represented by normal fuzzy sets. The grade of members...

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Bibliographic Details
Published inFuzzy sets and systems Vol. 26; no. 3; pp. 299 - 316
Main Author Dias, Oscar Pereira
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 1988
Elsevier
Subjects
Applied sciences
Exact sciences and technology
Fuzzy coefficients
Fuzzy domination
Fuzzy preference
Fuzzy zero-one programming
Operational research and scientific management
Operational research. Management science
Planning. Forecasting
R & D project selection
R & D project selection
Fuzzy coefficients
Fuzzy domination
Fuzzy zero-one programming
Fuzzy preference
Integer programming
Preference theory
Fuzzy decision
Planning
Project selection
Research and development
Mathematical programming
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Summary:This paper deals with the multicriteria project selection problem subject to linear constraints, with zero-one decision variables. Linguistic rather than numerical values are used in the project appraisals for each criterion, with their meanings represented by normal fuzzy sets. The grade of membership of a given alternative, in the fuzzy set of all nondominated alternatives, is computed by an algorithm that converges rapidly on the final solution. Continuity and normality are the only restrictions imposed on the membership functions. An example of the overall procedure and topics for future research are presented.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0165-0114
1872-6801
DOI:10.1016/0165-0114(88)90125-X