Possibilistic data analysis for operations research

From MaRDI portal
Publication:1300342

zbMath0931.91011MaRDI QIDQ1300342

Hideo Tanaka, Peijun Guo

Publication date: 12 September 1999

Published in: Studies in Fuzziness and Soft Computing (Search for Journal in Brave)




Related Items

Partial Possibilistic Regression Path ModelingOn conjoint analysis by rough approximations based on dominance relationsStochastic dominance with imprecise informationSolving a class of fuzzy linear programs by using semi-infinite programming techniquesPossibility theoretic clustering and its preliminary application to large image segmentationInterval priorities in AHP by interval regression analysisComments 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 optimizationThe normalized interval regression model with outlier detection and its real-world application to house pricing problemsUncertainty index based interval assignment by interval AHPFuzzy least-absolutes regression using shape preserving operationsPortfolios with fuzzy returns: Selection strategies based on semi-infinite programmingInterval estimations of global weights in AHP by upper approximationPartial possibilistic regression path modeling: handling uncertainty in path modelingComponent models for fuzzy dataA possibilistic approach to latent component analysis for symmetric fuzzy dataA crop planning problem with fuzzy random profit coefficientsStatistical reasoning with set-valued information: ontic vs. epistemic viewsLearning from imprecise and fuzzy observations: data disambiguation through generalized loss minimizationDual models for possibilistic regression analysisDecision analysis based on fused double exponential possibility distributions.A WEIGHTED LINEAR REGRESSION MODEL FOR IMPERCISE RESPONSEStatistical Reasoning with Set-Valued Information: Ontic vs. Epistemic ViewsPossibility distributions of fuzzy decision variables obtained from possibilistic linear programming problemsDecision making with interval probabilities