Quantifying vagueness in decision models

DOI10.1016/0377-2217(85)90223-1zbMath0569.90050OpenAlexW1984650654MaRDI QIDQ1060948

P. Zysno, Hans-Juergen Zimmermann

Publication date: 1985

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0377-2217(85)90223-1

zbMATH Keywords

fuzzy setsmeasurementempirical researchdetermining membership functionsquantitative representations of vague concepts

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Theory of fuzzy sets, etc. (03E72)

Related Items (13)

A new method for the estimation of mass functions in the Dempster-Shafer's evidence theory: application to colour image segmentation ⋮ Membership function as an evaluation ⋮ A family of measures for best top-\(n\) class-selective decision rules ⋮ An overview of membership function generation techniques for pattern recognition ⋮ Fuzzy-rough nearest neighbor algorithms in classification ⋮ Fuzzy set theory ⋮ Interactive fuzzy linear programming ⋮ A fuzzy information space approach to speech signal non-linear analysis ⋮ Hierarchical fuzzy feature similarity combination for presentation slide retrieval ⋮ Detecting homogeneous groups in clustering using the Euclidean distance ⋮ Fuzzy bicriteria multi-index transportation problems for coal allocation planning of Taipower ⋮ Aggregating membership values by a Choquet-fuzzy-integral based operator ⋮ An efficient and flexible mechanism for constructing membership functions

Cites Work

• A general least squares solution for successive intervals
• Using fuzzy sets in operational research
• A model for the measurement of membership and the consequences of its empirical implementation
• Decisions and evaluations by hierarchical aggregation of information
• Latent connectives in human decision making
• Concepts of probabilistic sets
• On a general class of fuzzy connectives
• A general class of fuzzy operators, the DeMorgan class of fuzzy operators and fuzziness measures induced by fuzzy operators
• On the suitability of minimum and product operators for the intersection of fuzzy sets
• The logic of inexact concepts
• Quantitative fuzzy semantics
• On the Precision of Adjectives Which Denote Fuzzy Sets
• Fuzzy sets
• Decision-Making in a Fuzzy Environment

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