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 ...
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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.
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Add this copy of Optimization Models Using Fuzzy Sets and Possibility to cart. $51.65, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2014 by Springer.
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New. Print on demand Trade paperback (US). Glued binding. 462 p. Contains: Unspecified, Illustrations, black & white. Theory and Decision Library B, 4.
Add this copy of Optimization Models Using Fuzzy Sets and Possibility to cart. $81.67, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Santa Clarita, CA, UNITED STATES, published 2014 by Springer.
Add this copy of Optimization Models Using Fuzzy Sets and Possibility to cart. $44.10, like new condition, Sold by Zubal Books rated 4.0 out of 5 stars, ships from Cleveland, OH, UNITED STATES, published 1987 by Kluwer.
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Add this copy of Optimization Models Using Fuzzy Sets and Possibility to cart. $82.23, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Santa Clarita, CA, UNITED STATES, published 1987 by Springer.
