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Editorial Board Members’ Collection Series: Fuzzy Modeling, Optimization and Computational Intelligence
This special issue belongs to the section “Logic“.
Special Issue Information
Dear Colleagues,
In many processes, such as in industry, engineering and the social sciences, it is not always possible to obtain full information about the data, parameters and variables involved in order to make decisions. The use of intervals and fuzzy sets is suitable to address this issue.
The aim of this Special Issue is to promote and contribute new models and methods to provide optimal or efficient solutions in some sense, under interval and fuzzy uncertainty, with applications in the real world.
Prof. Dr. Manuel Arana-Jimenez
Dr. Amit K. Shukla
Prof. Dr. Darjan Karabašević
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Axioms is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- modelling of processes under interval or fuzzy uncertainty
- applications to sectors, such as industry, engineering, tourism, healthcare, data science, big data, economy, finance, etc.
- efficiency in optimization under interval or fuzzy uncertainty
- computational methods in mathematical programming under uncertainty
- discussions and reviews in interval and fuzzy arithmetic
- discussions on orders in intervals or fuzzy sets
- interval and fuzzy linear and non-linear programming problems and algorithms
- multi-objective mathematical programming under interval or fuzzy uncertainty
- global optimization with fuzzy-valued objective
- generalized derivative and differentiability of interval and fuzzy-valued functions and applications
- optimality conditions to problems with intervals or fuzzy numbers
- control and variational problems with interval or fuzzy parameters or variables
- fuzzy differential equations—theory, numerical solution, algorithms, and applications
- decision theory and methods
- fuzzy MCDM methods
- group decision-making in fuzzy environment
- computational intelligence
- fuzzy logic for explainable AI
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