Fuzzy Methods for Customer Relationship Management and Marketing: Applications and Classifications

Fuzzy Methods for Customer Relationship Management and Marketing Applications and Classifications Information overload has made it increasingly difficult to analyze large amounts of data and generate appropriate management decisions Further data is often imprecise and will include both quantitati

  • Title: Fuzzy Methods for Customer Relationship Management and Marketing: Applications and Classifications
  • Author: Andreas Meier Laurent Donze
  • ISBN: 9781466600959
  • Page: 231
  • Format: Hardcover
  • Information overload has made it increasingly difficult to analyze large amounts of data and generate appropriate management decisions Further, data is often imprecise and will include both quantitative and qualitative elements For these reasons, it is important to extend traditional decision making processes by adding intuitive reasoning, human subjectivity, and impInformation overload has made it increasingly difficult to analyze large amounts of data and generate appropriate management decisions Further, data is often imprecise and will include both quantitative and qualitative elements For these reasons, it is important to extend traditional decision making processes by adding intuitive reasoning, human subjectivity, and imprecision Fuzzy Methods for Customer Relationship Management and Marketing Applications and Classifications explores the possibilities and advantages created by fuzzy methods through the presentation of thorough research and case studies This book covers a variety of possible fuzzy logic approaches to customer relationship management and marketing, making it a valuable resource for not only students and researchers but also executives, managers, marketing experts, and project leaders who are interested in applying fuzzy classification to managerial decisions.

    Fuzzy logic Fuzzy logic is a form of many valued logic in which the truth values of variables may be any real number between and It is employed to handle the concept of partial truth, where the truth value may range between completely true and completely false By contrast, in Boolean logic, the truth values of variables may only be the integer values or Fuzzy concept A fuzzy concept is a concept of which the boundaries of application can vary considerably according to context or conditions, instead of being fixed once and for all This means the concept is vague in some way, lacking a fixed, precise meaning, without however being unclear or meaningless altogether It has a definite meaning, which can be made precise only through further elaboration pyfuzzy Python fuzzy package Overview pyfuzzy is a framework to work with fuzzy sets and process them with operations of fuzzy logic For information see also the category fuzzy logic. Fuzzy Multiple Attribute Decision Making Methods and Fuzzy Multiple Attribute Decision Making Methods and Applications Lecture Notes in Economics and Mathematical Systems Softcover reprint of the original st ed Edition Special Issues Euro The following journals are preparing special issues about topics related to the EURO conference More Special Issues will be added in due course. Fuzzy String Matching Big Data Doctor Fuzzy String Matching a survival skill to tackle unstructured information The amount of information available in the internet grows every day thank you captain Obvious by Fuzzy Matching sasCommunity This page list papers and functions used in fuzzy matching where two tables contain a commonly named primary key but issues of data entry, etc, do not allow always an exact match. Nikita s blog Fuzzy string search Mar , Intro Fuzzy search algorithms also known as similarity search algorithms are a basis of spell checkers and full fledged search engines like Google or Yandex. Fuzzy Sets and Fuzzy Logic Theory and Applications Fuzzy Sets and Fuzzy Logic Theory and Applications George J Klir, Bo Yuan on FREE shipping on qualifying offers Reflecting the tremendous advances that have taken place in the study of fuzzy set theory and fuzzy logic from to the present ICNC FSKD Neural Computing Applications is an international journal which publishes original research and other information in the field of practical applications of neural computing and related techniques such as genetic algorithms, fuzzy logic and neuro fuzzy systems.

    • [PDF] Download ✓ Fuzzy Methods for Customer Relationship Management and Marketing: Applications and Classifications | by » Andreas Meier Laurent Donze
      231 Andreas Meier Laurent Donze
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      Published :2018-07-22T15:33:58+00:00

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