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On Some De Novo Type Approaches to Fuzzy Decision Making, Optimization and Control: An Application to Sustainable Regional Development

  • Conference paper
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15th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools – ICAFS-2022 (ICAFS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 610))

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Abstract

The paper is basically concerned with optimization, static and dynamic, under imprecise (fuzzy) information. Usually, the optimization problem is formulated as the maximization (or minimization) of some utility function, for instance, some financial result of an activity, subject to some constraints on, for instance, available resources, values of decision variables, etc. This general setting, which is the essence of virtually all traditional optimization problems considered, presupposes that parameter of the problem, for instance, constraints on resources devoted to particular types of activities, are given in advance.

J. Kacprzyk---Polish Academy of Sciences Member, Academia Europaea Member, European Academy of Sciences and Arts Foreign Member, Bulgarian Academy of Sciences Foreign Member, Spanish Royal Academy of Economic and Financial Sciences (RACEF) Foreign member

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Author information

Authors and Affiliations

  1. Finnish Society of Sciences and Letters Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

Authors
  1. Janusz Kacprzyk
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Correspondence to Janusz Kacprzyk .

Editor information

Editors and Affiliations

  1. Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    R. A. Aliev

  2. System Research Institute, Polish Academy of Sciences, Warsaw, Poland

    J. Kacprzyk

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    W. Pedrycz

  4. Department of Electrical and Computer Engineering, The University of Texas at San Antonio, San Antonio, TX, USA

    Mo. Jamshidi

  5. Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    M. B. Babanli

  6. Department of Mechatronics, Near East University, Nicosia, Türkiye

    F. Sadikoglu

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Kacprzyk, J. (2023). On Some De Novo Type Approaches to Fuzzy Decision Making, Optimization and Control: An Application to Sustainable Regional Development. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M.B., Sadikoglu, F. (eds) 15th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools – ICAFS-2022. ICAFS 2022. Lecture Notes in Networks and Systems, vol 610. Springer, Cham. https://doi.org/10.1007/978-3-031-25252-5_1

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