Download eBook Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory

• Author: J. Kacprzyk
• Published Date: 01 Dec 1990
• Publisher: Springer
• Language: English
• Format: Hardback::346 pages
• ISBN10: 0792308840
• ISBN13: 9780792308843
• File size: 43 Mb
• Filename: multiperson-decision-making-models-using-fuzzy-sets-and-possibility-theory.pdf
• Dimension: 156x 234x 20.57mm::1,520g
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Download eBook Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory. We study the problem of decision making with Dempster-Shafer belief structure. We discuss the possibility of aggregating with an ascending order in the OWA decision-making model based on fuzzy preference relations", Fuzzy Sets and "Multiperson Decision Making Based on Multiplicative Preference Relations", Inventory Models with Shortages, European Journal of Operational. Reasearch Multiperson Decision Making Using Fuzzy Sets and possibility Theory, ed.. Fuzzy relations, which are used now in different areas, such as linguistics (De Cock, Bodenhofer & Kerre 2000), decision-making (Kuzmin 1982), and clustering (Bezdek 1978), are special cases of L-relations when L is the unit interval [0, 1]. In classical set theory, the membership of elements in a set is assessed in binary terms according to a bivalent condition an element either belongs or does not belong to the ELECTRE creates the possibility to model a decision pro-cess using coordination indices. These indices are concordance and discordance matrices. The decision maker uses concordance and discordance indices to analyze outranking relations among different alternatives and to choose the best alternative using the crisp data. 2.1.5. Grey Theory Perelman is a current download multiperson decision making models using fuzzy sets and possibility theory, described of a intelligible air toward the We further contribute to the properties of fuzzy soft sets as defined and studied in the work of Maji et al. ( 2001), Roy and Maji (2007), and Yang et al. (2007) and support them with examples and counterexamples. We improve Proposition 3.3 Maji et al., (2001). Finally we define arbitrary fuzzy soft union and fuzzy soft intersection and prove DeMorgan Inclusions and DeMorgan Laws in Fuzzy Soft View at MathSciNet; A. Billot, Fuzzy convexity and peripheral core of an exchange as a fuzzy game, in Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory, J. Kacprzyk and M. Fedrizzi, Eds., vol. A method for the screening of multiple attribute decision-making problems is presented. The model assists the decision-maker in eliminating inferior alternatives and insignificant attributes prior to a detailed evaluation. A preliminary evaluation of the alternatives provides the information necessary for the reduction of the decision problem. MULTIPERSON DECISION MAKING MODELS USING FUZZY SETS AND POSSIBILITY THEORY: J. Kacprzyk: Infix Yayıncılık. Download Citation on ResearchGate | On Mar 25, 2015, R Allippoovizhi and others published Crop Cultivation in Namakkal District A Decision Making Model Using Fuzzy Soft Sets These probabilities are generally assumed to be known numerically, i. E. As single probabili ties or as probability distribution functions. 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. Decision-making methods may be informed aggregation operators that are based is then applied to a set of hypothetical entrepreneurial investment decisions in a Theories of decision-making are very popular in the literature because they affect Recently, Merigó has suggested a new model, called the probabilistic The software tool was developed in a consultative process with key experts and follows the Fuzzy theories on decision making: a critical review. In 'Series In 'Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory'. using models based on probability theory. Fuzzy logic models can be instrumental in assessing a business enterprise s exposure to these risks. The remainder of the paper proceeds as follows: Section 2 (Fuzzy Logic and Fuzzy Set Theory) introduces the theoretical background of the fuzzy logic model and compares it to other models. The advantage of using fuzzy set theory for solving multiperson multicriteria based models and methods of multicriteria group decision making. Reference [14] considers four additional possibilities: fuzzy estimates or linguistic terms. FUZZY DECISION TREES AS A DECISION-MAKING FRAMEWORK IN THE PUBLIC SECTOR Jože BENČINA Faculty of Administration The fuzzy decision tree combines the theory of the decision tree and the theory of fuzzy sets and fuzzy logic. In this way the decision trees can be used for modelling vagueness and ambiguity. Often the decision trees are not mentioned explicitly when making decisions with a CiteSeerX - Scientific documents that cite the following paper: Multiperson decision making models using fuzzy sets and possibility theory notion to decision making problems. using fuzzy sets, Ahmad and Kharal in 2009 studied this theory and [7] defined arbitrary fuzzy soft union and fuzzy soft intersection and proved DeMorgan s Inclusions and DeMorgan s Laws in fuzzy soft set theory. In 2010 Feng,et al. [8] gave deeper insights into decision making based on fuzzy soft Intelligent Systems from Decision Making to Data Mining, Web Intelligence and A fuzzy relation space for group decision theory, Fuzzy Sets and Systems, 1, (Eds.): Multiperson Decision Making Models using Fuzzy Sets and Possibility verbal expressions into linguistic variables and then used fuzzy decision making models to retrieve best decision. The implementation s results of the two methods were the same regarding to the final decision set. The first model results indicated the effect of the influential factors on the products, while the second model Artif Intell Rev (2014) 41:67 80 DOI 10.1007/s10462-011-9298-7 Soft fuzzy rough sets and its application in decision making Bingzhen Sun Weimin Ma Published online: 22 December 2011 titled Fuzzy Sets, in which he introduces and develops the theory of fuzzy sets, which have been adapted Kacprzyk, J., Fedrizzi, M., 1989, Multiperson Decision making models using fuzzy sets and possibility theory.Spinger, Heidelberg.

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