Possibilistic data analysis for operations research
From MaRDI portal
Publication:1300342
zbMath0931.91011MaRDI QIDQ1300342
Publication date: 12 September 1999
Published in: Studies in Fuzziness and Soft Computing (Search for Journal in Brave)
possibility theorydiscriminant analysispossibility distributionsportfolio selectionpossibilistic linear systemspossibility regression analysisrough set analysis
Decision theory (91B06) Research exposition (monographs, survey articles) pertaining to game theory, economics, and finance (91-02)
Related Items
Partial Possibilistic Regression Path Modeling ⋮ On conjoint analysis by rough approximations based on dominance relations ⋮ Stochastic dominance with imprecise information ⋮ Solving a class of fuzzy linear programs by using semi-infinite programming techniques ⋮ Possibility theoretic clustering and its preliminary application to large image segmentation ⋮ Interval priorities in AHP by interval regression analysis ⋮ Comments on ``Formulation of fuzzy linear programming problems as four-objective constrained optimization problems by G. Zhang, Y.-H. Wu, M. Remias and J. Lu. ⋮ Foundational contributions of K. Asai and H. Tanaka to fuzzy optimization ⋮ The normalized interval regression model with outlier detection and its real-world application to house pricing problems ⋮ Uncertainty index based interval assignment by interval AHP ⋮ Fuzzy least-absolutes regression using shape preserving operations ⋮ Portfolios with fuzzy returns: Selection strategies based on semi-infinite programming ⋮ Interval estimations of global weights in AHP by upper approximation ⋮ Partial possibilistic regression path modeling: handling uncertainty in path modeling ⋮ Component models for fuzzy data ⋮ A possibilistic approach to latent component analysis for symmetric fuzzy data ⋮ A crop planning problem with fuzzy random profit coefficients ⋮ Statistical reasoning with set-valued information: ontic vs. epistemic views ⋮ Learning from imprecise and fuzzy observations: data disambiguation through generalized loss minimization ⋮ Dual models for possibilistic regression analysis ⋮ Decision analysis based on fused double exponential possibility distributions. ⋮ A WEIGHTED LINEAR REGRESSION MODEL FOR IMPERCISE RESPONSE ⋮ Statistical Reasoning with Set-Valued Information: Ontic vs. Epistemic Views ⋮ Possibility distributions of fuzzy decision variables obtained from possibilistic linear programming problems ⋮ Decision making with interval probabilities