Fuzzy Logic for Business and Industry

Fuzzy Logic for Business and Industry PDF Author: Earl Cox
Publisher: Delmar Thomson Learning
ISBN: 9781886801011
Category : Business & Economics
Languages : en
Pages : 601

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Book Description
In his sequel to the bestselling, "Fuzzy Systems Handbook", the foremost authority on the applications of fuzzy logic presents actual models and case studies from business and industry. This hands-on book/disk package contains fuzzy modelling concepts and software that will be used throughout the industry.

Fuzzy Logic for Business and Industry

Fuzzy Logic for Business and Industry PDF Author: Earl Cox
Publisher: Delmar Thomson Learning
ISBN: 9781886801011
Category : Business & Economics
Languages : en
Pages : 601

Get Book Here

Book Description
In his sequel to the bestselling, "Fuzzy Systems Handbook", the foremost authority on the applications of fuzzy logic presents actual models and case studies from business and industry. This hands-on book/disk package contains fuzzy modelling concepts and software that will be used throughout the industry.

Fuzzy Logic for Business and Industry

Fuzzy Logic for Business and Industry PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description


Fuzzy Logic for Business and Industry

Fuzzy Logic for Business and Industry PDF Author: Earl D. Cox
Publisher:
ISBN:
Category :
Languages : en
Pages : 601

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Book Description


Fuzzy Logic for Business, Finance, and Management

Fuzzy Logic for Business, Finance, and Management PDF Author: George Bojadziev
Publisher: World Scientific
ISBN: 9812706496
Category : Business & Economics
Languages : en
Pages : 253

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Book Description
This is truly an interdisciplinary book for knowledge workers in business, finance, management and socio-economic sciences based on fuzzy logic. It serves as a guide to and techniques for forecasting, decision making and evaluations in an environment involving uncertainty, vagueness, impression and subjectivity. Traditional modeling techniques, contrary to fuzzy logic, do not capture the nature of complex systems especially when humans are involved. Fuzzy logic uses human experience and judgement to facilitate plausible reasoning in order to reach a conclusion. Emphasis is on applications presented in the 27 case studies including Time Forecasting for Project Management, New Product Pricing, and Control of a Parasit-Pest System.

Fuzzy Logic in Management

Fuzzy Logic in Management PDF Author: Christer Carlsson
Publisher: Springer Science & Business Media
ISBN: 1441989773
Category : Mathematics
Languages : en
Pages : 289

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Book Description
This book shows how the application of fuzzy logic can benefit management, group decision making, strategic planning, supply chain management and other business imperatives. The theoretical analysis is fully supported by real-life case studies. The book develops themes that businesses can use to master effectiveness and quality, work with flexibility, and support continuous learning in the organization and the individual.

Fuzzy Logic and Neural Networks Research in Industry and Business

Fuzzy Logic and Neural Networks Research in Industry and Business PDF Author: Rogelio Soto
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description


Fuzzy Logic

Fuzzy Logic PDF Author: F. Martin McNeill
Publisher: Academic Press
ISBN: 1483266222
Category : Computers
Languages : en
Pages : 317

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Book Description
Fuzzy Logic: A Practical Approach focuses on the processes and approaches involved in fuzzy logic, including fuzzy sets, numbers, and decisions. The book first elaborates on fuzzy numbers and logic, fuzzy systems on the job, and Fuzzy Knowledge Builder. Discussions focus on formatting the knowledge base for an inference engine, personnel detection system, using a knowledge base in an inference engine, fuzzy business systems, industrial fuzzy systems, fuzzy sets and numbers, and quantifying word-based rules. The text then elaborates on designing a fuzzy decision and Fuzzy Thought Amplifier for complex situations. Topics include origins of cognitive maps, Fuzzy Thought Amplifier, training a map to predict the future, introducing the Fuzzy Decision Maker, and merging interests. The publication takes a look at fuzzy associative memory, fuzzy sets as hypercube points, and disk files and descriptions, including Fuzzy Thought Amplifier, Fuzzy Decision Maker, and composing and creating a memory. The text is a valuable source of data for researchers interested in fuzzy logic.

Fuzzy Sets in Management, Economics, and Marketing

Fuzzy Sets in Management, Economics, and Marketing PDF Author: Panos M. Pardalos
Publisher: World Scientific
ISBN: 9789812810892
Category : Business & Economics
Languages : en
Pages : 292

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Book Description
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 OC ObjectsOCO (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 Garc a-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 Gonzilez 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."

Fuzzy Logic for Planning and Decision Making

Fuzzy Logic for Planning and Decision Making PDF Author: Freerk A. Lootsma
Publisher: Springer Science & Business Media
ISBN: 147572618X
Category : Business & Economics
Languages : en
Pages : 204

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Book Description
This book starts with the basic concepts of Fuzzy Logic: the membership function, the intersection and the union of fuzzy sets, fuzzy numbers, and the extension principle underlying the algorithmic operations. Several chapters are devoted to applications of Fuzzy Logic in Operations Research: PERT planning with uncertain activity durations, Multi-Criteria Decision Analysis (MCDA) with vague preferential statements, and Multi-Objective Optimization (MOO) with weighted degrees of satisfaction. New items are: Fuzzy PERT using activity durations with triangular membership functions, Fuzzy SMART with a sensitivity analysis based upon Fuzzy Logic, the Additive and the Multiplicative AHP with a similar feature, ELECTRE using the ideas of the AHP and SMART, and a comparative study of the ideal-point methods for MOO. Finally, earlier studies of colour perception illustrate the attempts to find a physiological basis for the set-theoretical and the algorithmic operations in Fuzzy Logic. The last chapter also discusses some key issues in linguistic categorization and the prospects of Fuzzy Logic as a multi-disciplinary research activity. Audience: Researchers and students working in applied mathematics, operations research, management science, business administration, econometrics, industrial engineering, information systems, artificial intelligence, mathematical psychology, and psycho-physics.

Advanced Fuzzy Logic Technologies in Industrial Applications

Advanced Fuzzy Logic Technologies in Industrial Applications PDF Author: Ying Bai
Publisher: Springer Science & Business Media
ISBN: 1846284694
Category : Technology & Engineering
Languages : en
Pages : 342

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Book Description
This book introduces a dynamic, on-line fuzzy inference system. In this system membership functions and control rules are not determined until the system is applied and each output of its lookup table is calculated based on current inputs. The book describes the real-world uses of new fuzzy techniques to simplify readers’ tuning processes and enhance the performance of their control systems. It further contains application examples.