Fuzzy Optimization and Decision Making

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A systematic review of uncertainty theory with the use of scientometrical method
Fuzzy Optimization and Decision Making - Tập 22 - Trang 463-518 - 2022
Jian Zhou, Yujiao Jiang, Athanasios A. Pantelous, Weiwen Dai
Uncertainty theory is an area in axiomatic mathematics recently proposed by Professor Baoding Liu and aiming to deal with belief degrees. Retrieving 1004 journal articles from the Web of Science database between 2008 and 2019, and utilizing CiteSpace and Pajek software, we analyze the publications per year and by geographical distribution, productive scholars and their cooperation, key journals, h...... hiện toàn bộ
Numerical Approach of Multi-Objective Optimal Control Problem in Imprecise Environment
Fuzzy Optimization and Decision Making - Tập 4 - Trang 313-330 - 2005
K. Maity, M. Maiti
In this paper, realistic production-inventory models without shortages for deteriorating items with imprecise holding and production costs for optimal production have been formulated. Here, the rate of production is assumed to be a function of time and considered as a control variable. Also the demand is time dependent and known. The imprecise holding and production costs are assumed to be represe...... hiện toàn bộ
Different optimum notions for fuzzy functions and optimality conditions associated
Fuzzy Optimization and Decision Making - Tập 17 - Trang 177-193 - 2017
R. Osuna-Gómez, B. Hernández-Jiménez, Y. Chalco-Cano, G. Ruiz-Garzón
Fuzzy numbers have been applied on decision and optimization problems in uncertain or imprecise environments. In these problems, the necessity to define optimal notions for decision-maker’s preferences as well as to prove necessary and sufficient optimality conditions for these optima are essential steps in the resolution process of the problem. The theoretical developments are illustrated and mot...... hiện toàn bộ
A new method for ranking intuitionistic fuzzy values and its application in multi-attribute decision making
Fuzzy Optimization and Decision Making - Tập 11 - Trang 135-146 - 2012
Xiumei Zhang, Zeshui Xu
In this paper, we propose a new method for ranking intuitionistic fuzzy values (IFVs) by using the similarity measure and the accuracy degree of IFVs. Then we apply the proposed ranking method to multi-attribute decision making.
On the convergence of some possibilistic clustering algorithms
Fuzzy Optimization and Decision Making - Tập 12 - Trang 415-432 - 2013
Jian Zhou, Longbing Cao, Nan Yang
In this paper, an analysis of the convergence performance is conducted for a class of possibilistic clustering algorithms (PCAs) utilizing the Zangwill convergence theorem. It is shown that under certain conditions the iterative sequence generated by a PCA converges, at least along a subsequence, to either a local minimizer or a saddle point of the objective function of the algorithm. The converge...... hiện toàn bộ
Extension principles for interval-valued intuitionistic fuzzy sets and algebraic operations
Fuzzy Optimization and Decision Making - Tập 10 - Trang 45-58 - 2010
Deng-Feng Li
The Atanassov’s intuitionistic fuzzy (IF) set theory has become a popular topic of investigation in the fuzzy set community. However, there is less investigation on the representation of level sets and extension principles for interval-valued intuitionistic fuzzy (IVIF) sets as well as algebraic operations. In this paper, firstly the representation theorem of IVIF sets is proposed by using the con...... hiện toàn bộ
Discovering the dynamic behavior of unknown systems using fuzzy logic
Fuzzy Optimization and Decision Making - Tập 17 - Trang 421-445 - 2018
A. Javier Barragán, Juan M. Enrique, Antonio J. Calderón, José M. Andújar
To know the dynamic behavior of a system it is convenient to have a good dynamic model of it. However, in many cases it is not possible either because of its complexity or because of the lack of knowledge of the laws involved in its operation. In these cases, obtaining models from input–output data is shown as a highly effective technique. Specifically, intelligent modeling techniques have become ...... hiện toàn bộ
Heavy OWA Operators
Fuzzy Optimization and Decision Making - Tập 1 - Trang 379-397 - 2002
Ronald R. Yager
We recall the OWA operator and discuss some of the features used to characterize these operators. In passing we introduce an new characterizing attribute called the divergence. We then consider two cases of information fusion and use these as motivation to generalize the OWA operator with the introduction of the Heavy OWA operator. These HOWA operators differ from the ordinary OWA operators by rel...... hiện toàn bộ
Aggregation of ordinal information
Fuzzy Optimization and Decision Making - Tập 6 - Trang 199-219 - 2007
Ronald R. Yager
Our interest is with the fusion of information which has an ordinal structure. Information fusion in this environment requires the availability of ordinal aggregation operations. Basic ordinal operations are first introduced. Next we investigate conjunctive and disjunction aggregations of ordinal information. The idea of a pseudo-log in the ordinal environment is presented. We discuss the introduc...... hiện toàn bộ
Fuzzy portfolio selection model with real features and different decision behaviors
Fuzzy Optimization and Decision Making - Tập 17 - Trang 317-336 - 2017
Yong-Jun Liu, Wei-Guo Zhang
In the ever changing financial markets, investor’s decision behaviors may change from time to time. In this paper, we consider the effect of investor’s different decision behaviors on portfolio selection in fuzzy environment. We present a possibilistic mean-semivariance model for fuzzy portfolio selection by considering some real investment features including proportional transaction cost, fixed t...... hiện toàn bộ
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