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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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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Abstract 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.
AbstractList 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.
Author Dias, Oscar Pereira
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Cites_doi 10.1016/S0020-7373(76)80002-8
10.1016/0020-0255(75)90046-8
10.1007/BF01588256
10.1287/mnsc.16.4.B212
10.1016/0165-0114(78)90001-5
10.1287/mnsc.18.10.B526
10.1109/TEM.1969.6447060
10.1016/0165-0114(80)90026-3
10.1016/0165-0114(84)90024-1
10.1016/0165-0114(85)90013-2
10.1016/0165-0114(80)90031-7
10.1016/0020-0255(75)90036-5
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Issue 3
Keywords 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
Language English
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Moore, Baker (BIB7) 1969; 16
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Buckley (10.1016/0165-0114(88)90125-X_BIB3) 1985; 15
Souder (10.1016/0165-0114(88)90125-X_BIB10) 1972; 18
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Snippet This paper deals with the multicriteria project selection problem subject to linear constraints, with zero-one decision variables. Linguistic rather than...
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SubjectTerms 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
Title The R & D project selection problem with fuzzy coefficients
URI https://dx.doi.org/10.1016/0165-0114(88)90125-X
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