Optimization Models Using Fuzzy Sets and Possibility Theory - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimization Models Using Fuzzy Sets and Possibility Theory write by J. Kacprzyk. This book was released on 2013-11-11. Optimization Models Using Fuzzy Sets and Possibility Theory available in PDF, EPUB and Kindle. 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.
Special Issue on 'Fuzzy Sets and Possibility Theory in Optimization Models'
Special Issue on 'Fuzzy Sets and Possibility Theory in Optimization Models' - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Special Issue on 'Fuzzy Sets and Possibility Theory in Optimization Models' write by Janusz Kacprzyk. This book was released on 1984. Special Issue on 'Fuzzy Sets and Possibility Theory in Optimization Models' available in PDF, EPUB and Kindle.
Flexible and Generalized Uncertainty Optimization
Flexible and Generalized Uncertainty Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Flexible and Generalized Uncertainty Optimization write by Weldon A. Lodwick. This book was released on 2021-01-12. Flexible and Generalized Uncertainty Optimization available in PDF, EPUB and Kindle. This book presents the theory and methods of flexible and generalized uncertainty optimization. Particularly, it describes the theory of generalized uncertainty in the context of optimization modeling. The book starts with an overview of flexible and generalized uncertainty optimization. It covers uncertainties that are both associated with lack of information and are more general than stochastic theory, where well-defined distributions are assumed. Starting from families of distributions that are enclosed by upper and lower functions, the book presents construction methods for obtaining flexible and generalized uncertainty input data that can be used in a flexible and generalized uncertainty optimization model. It then describes the development of the associated optimization model in detail. Written for graduate students and professionals in the broad field of optimization and operations research, this second edition has been revised and extended to include more worked examples and a section on interval multi-objective mini-max regret theory along with its solution method.
Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory
Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory write by J. Kacprzyk. This book was released on 2012-12-06. Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory available in PDF, EPUB and Kindle. Decision making is certainly a very crucial component of many human activities. It is, therefore, not surprising that models of decisions play a very important role not only in decision theory but also in areas such as operations Research, Management science, social Psychology etc . . The basic model of a decision in classical normative decision theory has very little in common with real decision making: It portrays a decision as a clear-cut act of choice, performed by one individual decision maker and in which states of nature, possible actions, results and preferences are well and crisply defined. The only compo nent in which uncertainty is permitted is the occurence of the different states of nature, for which probabilistic descriptions are allowed. These probabilities are generally assumed to be known numerically, i. e. as single probabili ties or as probability distribution functions. Extensions of this basic model can primarily be conceived in three directions: 1. Rather than a single decision maker there are several decision makers involved. This has lead to the areas of game theory, team theory and group decision theory. 2. The preference or utility function is not single valued but rather vector valued. This extension is considered in multiattribute utility theory and in multicritieria analysis. 3.
Flexible and Generalized Uncertainty Optimization
Flexible and Generalized Uncertainty Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Flexible and Generalized Uncertainty Optimization write by Weldon A. Lodwick. This book was released on 2017-01-17. Flexible and Generalized Uncertainty Optimization available in PDF, EPUB and Kindle. This book presents the theory and methods of flexible and generalized uncertainty optimization. Particularly, it describes the theory of generalized uncertainty in the context of optimization modeling. The book starts with an overview of flexible and generalized uncertainty optimization. It covers uncertainties that are both associated with lack of information and that more general than stochastic theory, where well-defined distributions are assumed. Starting from families of distributions that are enclosed by upper and lower functions, the book presents construction methods for obtaining flexible and generalized uncertainty input data that can be used in a flexible and generalized uncertainty optimization model. It then describes the development of such a model in detail. All in all, the book provides the readers with the necessary background to understand flexible and generalized uncertainty optimization and develop their own optimization model.
