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Fuzzy Sets in Management, Economy & Marketing

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Published by World Scientific Publishing Company .
Written in English

Subjects:

  • Budgeting & financial management,
  • Econometrics,
  • Management Science,
  • Decision Making & Problem Solving,
  • Business & Economics,
  • Mathematical models,
  • Business / Economics / Finance,
  • Investments,
  • Business/Economics,
  • Fuzzy sets,
  • Decision making,
  • Marketing

Book details:

Edition Notes

ContributionsInternational Association for Fuzzy-Set Management and Economy (Corporate Author), Constantin Zopounidis (Editor), Panos M. Pardalos (Editor), George Baourakis (Editor)
The Physical Object
FormatHardcover
Number of Pages400
ID Numbers
Open LibraryOL9195415M
ISBN 109810247532
ISBN 109789810247539

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The concept of fuzzy sets is one of the most fundamental and influential tools in computational intelligence. Fuzzy sets can provide solutions to a broad range of problems of control, pattern classification, reasoning, planning, and computer vision. This book bridges the gap that has developed between theory and practice. The authors explain what fuzzy sets are, why they work, when they . Special attention is paid to production processes and marketing of products and services. This monograph is a highly readable overview and introduction for scientists, professionals, graduate students, managers and consultants in the growing field of applications of and fuzzy logic in the field of management. 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 . Decision making is certainly a very crucial component of many human activities. It is, therefore, not surprising that models of decisions play a very important role not only in decision theory but also in areas such as operations Research, Management science, social Psychology etc.

Fuzzy Set Models in Inventory Control Fuzzy Sets in Marketing Customer Segmentation in Banking and Finance Bank Customer Segmentation based on Customer Behavior 16 Empirical Research in Fuzzy Set Theory Formal Theories vs. Factual Theories vs. Decision Technologies   Fuzzy relations are fuzzy subsets of X × Y, that is, mappings from X → Y. They have been studied by a number of authors, in particular by Zadeh [, ], Kaufmann [], and Rosenfeld []. This book presents a broad range of innovative applications and case studies in all areas of management and engineering, including public administration, finance, marketing, engineering, transportation, and energy systems. It addresses issues related .   Speed against competitors is just one of the key lessons outlined in this book from Lars Tvede and Peter Ohnemus. E-business is here for good and people are waking up to the fact that traditional marketing techniques may not stand up to new requirements set out by the "new economy".

  Fuzzy Logic Fuzzy Logic, or fuzzy thinking, has its roots in the early days of computer science, first suggested by Zadeh’s work on fuzzy sets (Zadeh, ). In this ground breaking paper, Zadeh posits that the real world cannot be described in a binary fashion, as it is far too complex, they are many grey areas, as well as data that can. This study presents an integrated fuzzy set theory and fuzzy Bayesian belief network model for a rational, realistic determination of the amount of project cost contingencies for infrastructure.   We mention how probabilities can be estimated from a given data set and how a probability distribution can be approximated using a fuzzy histogram technique. We apply our methodology to financial time series analysis and demonstrate how a probabilistic TS fuzzy system can be identified, assuming that a linguistic term set is given. Marketing deals with identifying and meeting the needs of customers. It is therefore both an art and a science. To bridge the gap between art and science, soft computing, or computing with words, could be an option. This chapter introduces fundamental concepts such as fuzzy sets, fuzzy logic, and co.