Optimization Models Using Fuzzy Sets and Possibility Theory

Language: English

Published by Springer, Springer Apr 2014, 2014

9401082200 / 9789401082204

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This item is printed on demand - Print on Demand Titel. Neuware -Optimization is of central concern to a number of discip lines. Operations Research and Decision Theory are often consi dered to be identical with optimizationo But also in other areas such as engineering design, regional policy, logistics and many others, the search for optimal solutions is one of the prime goals. The methods and models which have been used over the last decades in these areas have primarily been 'hard' or 'crisp', i. e. the solutions were considered to be either fea sible or unfeasible, either above a certain aspiration level or below. This dichotomous structure of methods very often forced the modeller to approximate real problem situations of the more-or-less type by yes-or-no-type models, the solutions of which might turn out not to be the solutions to the real prob lems. This is particularly true if the problem under considera tion includes vaguely defined relationships, human evaluations, uncertainty due to inconsistent or incomplete evidence, if na tural language has to be modelled or if state variables can only be described approximately. Until recently, everything which was not known with cer tainty, i. e. which was not known to be either true or false or which was not known to either happen with certainty or to be impossible to occur, was modelled by means of probabilitieso This holds in particular for uncertainties concerning the oc currence of events.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 480 pp. Englisch.

Seller Inventory # 9789401082204

Title
Optimization Models Using Fuzzy Sets and Possibility Theory
Author
J. Kacprzyk
Publisher
Springer, Springer Apr 2014
Publication year
2014
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
9401082200
ISBN 13
9789401082204
Item weight
689 grams
Dimensions
229x152x26 mm

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