About this book series

With today’s information overload, it has become increasingly difficult to analyze the huge amounts of data and to generate appropriate management decisions. Furthermore, the data are 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. To deal with uncertainty, vagueness, and imprecision, Lotfi A. Zadeh introduced fuzzy sets and fuzzy logic. In this book series “Fuzzy Management Methods” fuzzy logic is applied to extend portfolio analysis, scoring methods, customer relationship management, performance measurement, web reputation, web analytics and controlling, community marketing and other business domains to improve managerial decisions. Thus, fuzzy logic can be seen as a management method where appropriate concepts, software tools and languages build a powerful instrument for analyzing and controlling the business.
Electronic ISSN
2196-4149
Print ISSN
2196-4130
Series Editor
  • Andreas Meier,
  • Witold Pedrycz,
  • Edy Portmann

Book titles in this series

  1. The Genesis of Logic

    Reflections on the Origins, Principles and Paths of Common-sense Reasoning

    Authors:
    • Enric Trillas
    • Copyright: 2024

    Available Renditions

    • Hard cover
    • eBook
  2. Smart Urban Logistics

    Improving Delivery Services by Computational Intelligence

    Authors:
    • Jhonny Pincay Nieves
    • Copyright: 2022

    Available Renditions

    • Hard cover
    • Soft cover
    • eBook
  3. Phenotropic Interaction

    Improving Interfaces with Computing with Words and Perceptions

    Authors:
    • Moreno Colombo
    • Copyright: 2024

    Available Renditions

    • Hard cover
    • eBook
  4. Fuzzy Quantitative Management

    Principles, Methodologies and Applications

    Authors:
    • Shaopei Lin
    • Guohua Zhao
    • Copyright: 2023

    Available Renditions

    • Hard cover
    • eBook
  5. Citizen Privacy Framework

    Case of a Fuzzy-based Recommender System for Political Participation

    Authors:
    • Aigul Kaskina
    • Copyright: 2022

    Available Renditions

    • Hard cover
    • Soft cover
    • eBook