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Optimization Models Using Fuzzy Sets and Possibility Theory (Paperback, Softcover reprint of the original 1st ed. 1987)
Loot Price: R1,569
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Optimization Models Using Fuzzy Sets and Possibility Theory (Paperback, Softcover reprint of the original 1st ed. 1987)
Series: Theory and Decision Library B, 4
Expected to ship within 10 - 15 working days
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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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