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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Fuzzy Logic in Management

Fuzzy Logic in Management

Carlsson, Christer
Fedrizzi, Mario
Fuller, Robert

Paperback

Series: International Operations Research & Management Science, Book 66

FictionManagementGeneral Computers

ISBN10: 1461347440
ISBN13: 9781461347446
Publisher: Springer Nature
Published: Oct 28 2012
Pages: 276
Weight: 0.92
Height: 0.62 Width: 6.14 Depth: 9.21
Language: English

Fuzzy Logic in Management demonstrates that difficult problems and changes in the management environment can be more easily handled by bringing fuzzy logic into the practice of management. This explicit theme is developed through the book as follows: Chapter 1, Management and Intelligent Support Technologies, is a short survey of management leadership and what can be gained from support technologies. Chapter 2, Fuzzy Sets and Fuzzy Logic, provides a short introduction to fuzzy sets, fuzzy relations, the extension principle, fuzzy implications and linguistic variables. Chapter 3, Group Decision Support Systems, deals with group decision making, and discusses methods for supporting the consensus reaching processes. Chapter 4, Fuzzy Real Options for Strategic Planning, summarizes research where the fuzzy real options theory was implemented as a series of models. These models were thoroughly tested on a number of real life investments, and validated in 2001. Chapter 5, Soft Computing Methods for Reducing the Bullwhip Effect, summarizes research work focused on the demand fluctuations in supply chains. The program enhanced existing theoretical frameworks with fuzzy logic modeling. Chapter 6, Knowledge Management, outlines the collection, storing, transfer and management of knowledge using fuzzy logic. The principles are worked out in detail with software agents. Chapter 7, Mobile Technology Application, introduces various applications including empirical facts and how mobile technology can be supported with software agents.

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