Possibility for Decision [electronic resource] : A Possibilistic Approach to Real Life Decisions /
Carlsson, Christer.author.
Fuller, Robert.author.
This book starts with the basic concepts of fuzzy sets and progresses through a normative view on possibility distributions and OWA operators in multiple criteria decisions.   Five applications  (that all build on experience from solving complex real world problems) of possibility distributions to strategic decisions about closing/not closing a production plant using fuzzy real options,  portfolio selection with imprecise future data, predictive probabilities and possibilities for risk assessment in grid computing, fuzzy ontologies for process industry, and  design (and implementation) of mobile value services are presented and carefully discussed. It can be useful for researchers and students working in soft computing, real options, fuzzy decision making, grid computing, knowledge mobilization and mobile value services.
Bibliographic Level Mode of Issuance: Monograph
Includes bibliographical references and index.
1 Introduction -- 2 Concepts and Issues -- 3 A Normative View on Possibility Distributions -- 4 OWA Operators in Multiple Criteria Decisions -- 5 Fuzzy Real Options for Strategic Decisions -- 6 Portfolio Selection with Imprecise Future Data -- 7 Risk Assessment in Grid Computing -- 8 Knowledge Mobilization -- 9 Mobile Value Services.
This book starts with the basic concepts of fuzzy sets and progresses through a normative view on possibility distributions and OWA operators in multiple criteria decisions.   Five applications  (that all build on experience from solving complex real world problems) of possibility distributions to strategic decisions about closing/not closing a production plant using fuzzy real options,  portfolio selection with imprecise future data, predictive probabilities and possibilities for risk assessment in grid computing, fuzzy ontologies for process industry, and  design (and implementation) of mobile value services are presented and carefully discussed. It can be useful for researchers and students working in soft computing, real options, fuzzy decision making, grid computing, knowledge mobilization and mobile value services.
Computational intelligence.
Applied mathematics.
Engineering mathematics.
Mathematical statistics.
Computational Intelligence.
Mathematical and Computational Engineering.
Probability and Statistics in Computer Science.