11 edition of Soft Computing for Complex Multiple Criteria Decision Making found in the catalog.
January 23, 2006
Written in English
|Series||International Series in Operations Research & Management Science|
|The Physical Object|
|Number of Pages||172|
"Soft Computing and Intelligent Systems Design - Theory, Tools and Applications", by Fakhreddine karray and Clarence de Silva (), Addison Wesley, chapter , page 4 “Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence” by J. S. R. Jang, C. T. Sun, and E. Mizutani, (), Prentice Hall. Soft Computing for Complex Multiple Criteria Decision Making, Springer, , Multiple Criteria Decision Making by Multiobjective Optimization – A Toolbox, Springer, , co-authors - J. Miroforidis and D. Podkopaev, and over 30 popular papers on risk management in finance and electrical energy trading.
Soft computing-based decision support tools for spatial data confused with the class concept. GIS focus on pro-viding tools for multi-criteria decision-making, for instance for site selection and suitability. However the concept of learning from data is not explicit. To . Peng Y, Zhang Y, Tang Y and Li S () An incident information management framework based on data integration, data mining, and multi-criteria decision making, Decision Support Systems, , (), Online publication date: 1-May
By decision-making in a fuzzy environment is meant a decision process in which the goals and/or the constraints, but not necessarily the system under control, are fuzzy in nature. Soft Computing, Vol. 23, No. 21 Multiple Criteria Decision Making Based on Probabilistic Interval-Valued Hesitant Fuzzy Sets by Using LP by: About The Book: This book is meant for a wide range of readers who wish to learn the basic concepts of soft computing. It can also be helpful for programmers, researchers and management experts who use soft computing techniques/5(10).
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"Soft Computing for Complex Multiple Criteria Decision Making (MCDM) is the 85th volume in the International Series in Operations Research & Management Science. The book is aimed at academics and other researchers, doctoral students, and sophisticated users .Cited by: There are numerous books on Multiple Criteria Decision Making.
Soft Computing for Complex Multiple Criteria Decision Making concentrates on providing technical (meaning formal, mathematical, algorithmical) tools to make the user of Multiple Criteria Decision Making methodologies independent of bulky optimization computations.
These bulky computations up to now have been a necessary, but. He has published over 40 scientific papers in journals and books of international circulation and two monographs: Quantitative Pareto Analysis by Cone Separation Technique (Kluwer Academic Publ., Dordrecht, ), Soft Computing for Complex Multiple Criteria Decision Making (Springer, ).
Associate Professor Yael Grushka-Cockayne's research and teaching activities focus on data science, forecasting, project management and behavioral decision-making. Her research is published in numerous academic and professional journals, and she is a regular speaker at international conferences in the areas of decision analysis, project.
Multiple-criteria decision-making (MCDM) or multiple-criteria decision analysis (MCDA) is a sub-discipline of operations research that explicitly evaluates multiple conflicting criteria in decision making (both in daily life and in settings such as business, government and medicine).
Conflicting criteria are typical in evaluating options: cost or price is usually one of the main criteria, and. The book is unique in its kind as it reports for the first time and in a comprehensive manner on the joint use of neutrosophic sets together with existing decision making methods to solve multi-criteria decision-making problems, as well as other engineering problems that are complex, hard to model and/or include incomplete and vague data.
Analytic Network Process (ANP) is the multi-criteria decision making (MCDM) tool which takes into account such a complex relationship among parameters.
In this paper, we develop the interval-valued fuzzy ANP (IVF-ANP) to solve MCDM problems since it allows interdependent influences specified in the model and generalizes on the supermatrix by: Soft computing based on new interval-valued fuzzy modified multi-criteria decision-making method.
The multi-criteria decision making (MCDM) provides an effective framework for comparison based on the evaluation of multiple conflicting criteria.
The MCDM is one of the highest growing areas of operational research, as it is often realized Cited by: It can be said that soft computing aims to solve complex problems by exploiting the imprecision and uncertainty in decision making processes. Fig. 1 shows the conventional and soft computing based problem solution principle as suggested by Gupta and Kulkarni5.
The left diagram shows the traditional hard computing approach where an exact model Cited by: Multiple criteria decision-making (MCDM) is considered as a complex decision-making (DM) tool involving both quantitative and qualitative factors.
In recent years, several MCDM techniques and approaches have been suggested to choosing the opti-mal probable options. The purpose of this article is. Springer Nature Switzerland AGC. Kahraman and I. Otay (eds.), Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets, Studies in Fuzziness and Soft ComputingDOI: /.
What is soft computing Techniques used in soft computing 2 What is Soft Computing. (adapted from L.A. Zadeh) • Soft computing differs from conventional (hard) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty, partial truth, and approximation.
In effect, the role model for soft computing is the human mind. 3File Size: KB. Intelligent decision support systems based on soft computing are of great importance to deal with complex decision environments, and involve the design of mathematical models for modeling decision problems, the use of different information technologies (such as the Web and social networks) and artificial intelligence tools (such as.
Introduction to Soft Computing by Eva Volna. Publisher: Bookboon ISBN Number of pages: Description: This book gives an introduction to Soft Computing, which aims to exploit tolerance for imprecision, uncertainty, approximate reasoning, and partial truth in order to achieve close resemblance with human like decision making.
Soft Computing Based on New Fuzzy Modified Multi-Criteria Decision Making Method Article in Applied Soft Computing 13(1)– January with 40 Reads How we measure 'reads'. Soft computing is a collection of algorithms that are employed for finding a solution for very complex problems; the ones for which more conventional methods have not yielded low cost & time-feasible solutions.
When we are speaking of low cost, we. Two closely-related fields central to this growth are multiple criteria decision making (MCDM) and multiattribute utility theory (MAUT). This paper comments on the history of MCDM and MAUT and discusses topics we believe are important in their continued development and usefulness to management science over the next by: Journal of Soft Computing and Decision Support Systems (eISSN: ) has a wide scope by covering almost all the engineering and science applications of soft computing and decision support journal also publishes the papers related to the application of soft computing techniques for implementing and evaluating the decision support systems.
Soft Computing Techniques; Reliability theory; Multi-objective Optimization; Multiple Criteria Decision Making; Evolutionary Algorithms (GA,PSO,ABC,) Intuitionistic Fuzzy Optimization. Get the Book on Evolutionary Algorithms (With Python Noteboks) An introductio.
This paper is an overview of soft computing technique s and describes some of the commonly used techniques to. solve complex problems with soft computing m ethods, decision-making approach.Axioms, Vol. 6, and Vol.
7, ; Special Issue on Neutrosophic Multi-Criteria Decision Making new Annals of Fuzzy Mathematics and Informatics, Vol No. 1, (July ), p.
Special Issue on Neutrosophic Sets and their Applications. new. soft-computing 1. A field of study that encompasses computational techniques for performing tasks that require intelligence when performed by humans.
Simulation of human behavior and cognitive processes on a NAMES: Intelligent control Artificial Intelligence 2.