TY  - BOOK
AU  - Zopounidis,Constantin
AU  - Pardalos,Panos M.
AU  - Baourakis,George
TI  - Fuzzy Sets in Management, Economics and Marketing
SN  - 9789812810892
AV  - HD30.25.F89 2001 
U1  - 658.4 
PY  - 2001///
CY  - Singapore
PB  - World Scientific Publishing Co Pte Ltd
KW  - Decision making -- Mathematical models
KW  - Fuzzy sets
KW  - Investments -- Decision making -- Econometric models
KW  - Marketing -- Decision making -- Mathematical models
KW  - Electronic books
N1  - Intro -- CONTENTS -- Editorial -- Decision Making, Management and Marketing -- Algorithms for orderly structuring of financial "objects" -- A fuzzy goal programming model for evaluating a hospital service performance -- A group decision making method using fuzzy triangular numbers -- Developing sorting models using preference disaggregation analysis: An experimental investigation -- Hierarchical classification in insurance data analysis -- Consumer preferences for extrinsic versus intrinsic quality cues for image products: The case of Greek quality wine -- Identification of the market trends for Greek fruit juices -- The tourism industry in Crete: The identification of new market segments -- Stock Markets and Portfolio Management -- The use of fuzzy programming for the management of immunised fixed income portfolios -- The causality between interest rate, exchange rate and stock price in emerging markets: The case of the Jakarta stock exchange -- Fuzzy cognitive maps in stock market -- Neural network vs linear models of stock returns: An application to the UK and German Stock Market Indices -- How wavelets and genetic algorithms can assist intelligent hybrid methodologies in handling data driven stock exchange daily trading -- Corporate Finance and Banking Management -- Expertons and behaviour of companies with regard to the adequacy between business decisions and objectives -- Multiple fuzzy IRR in the financial decision environment -- An automated knowledge generation approach for managing credit scoring problems -- Bank asset liability management techniques: An overview -- Author index
N2  - The rapid changes that have taken place globally on the economic, social and business fronts characterized the 20th century. The magnitude of these changes has formed an extremely complex and unpredictable decision-making framework, which is difficult to model through traditional approaches. The main purpose of this book is to present the most recent advances in the development of innovative techniques for managing the uncertainty that prevails in the global economic and management environments. These techniques originate mainly from fuzzy sets theory. However, the book also explores the integration of fuzzy sets with other decision support and modeling disciplines, such as multicriteria decision aid, neural networks, genetic algorithms, machine learning, chaos theory, etc. The presentation of the advances in these fields and their real world applications adds a new perspective to the broad fields of management science and economics. Contents: Decision Making, Management and Marketing: Algorithms for Orderly Structuring of Financial "Objects" (J Gil-Aluja); A Fuzzy Goal Programming Model for Evaluating a Hospital Service Performance (M Arenas et al.); A Group Decision Making Method Using Fuzzy Triangular Numbers (J L García-Lapresta et al.); Developing Sorting Models Using Preference Disaggregation Analysis: An Experimental Investigation (M Doumpos & C Zopounidis); Stock Markets and Portfolio Management: The Causality Between Interest Rate, Exchange Rate and Stock Price in Emerging Markets: The Case of the Jakarta Stock Exchange (J Gupta et al.); Fuzzy Cognitive Maps in Stock Market (D Koulouriotis et al.); Neural Network vs Linear Models of Stock Returns: An Application to the UK and German Stock Market Indices (A Kanas); Corporate Finance and Banking Management: Expertons and Behaviour of Companies with Regard to the Adequacy Between Business; Decisions and Objectives (A Couturier & B Fioleau); Multiple Fuzzy IRR in the Financial Decision Environment (S F González et al.); An Automated Knowledge Generation Approach for Managing Credit Scoring Problems (M Michalopoulos et al.); and other papers. Readership: Financial managers, economists, management scientists and computer scientists
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ER  -