Soft Computing for Decision-Making in Fuzzy Environments: A Tribute to Professor Ioan Dzitac

This paper is dedicated to Professor Ioan Dzitac (1953–2021). Therefore, his life has been briefly presented as well as a comprehensive overview of his major contributions in the domain of soft computing methods in a fuzzy environment. This paper is part of a special reverential volume, dedicated to the Centenary of the Birth of Lotfi A. Zadeh, whom Ioan Dzitac considered to be is his mentor, and to whom he showed his gratitude many times and in innumerable ways, including by being the Guest Editor of this Special Issue. Professor Ioan Dzitac had many important achievements throughout his career: he was co-founder and Editor-in-Chief of an ISI Expanded quoted journal, International Journal of Computers Communications & Control; together with L.A. Zadeh, D. Tufis and F.G. Filip he edited the volume “From Natural Language to Soft Computing: New Paradigms in Artificial Intelligence”; his scientific interest focused on different sub-fields: fuzzy logic applications, soft computing in a fuzzy environment, artificial intelligence, learning platform, distributed systems in internet. He had the most important contributions in soft computing in a fuzzy environment. Some of them will be presented in this paper. Finally, some future trends are discussed.

[1]  Francisco Herrera,et al.  Computing with words in decision making: foundations, trends and prospects , 2009, Fuzzy Optim. Decis. Mak..

[2]  Ioan Dzitac Zadeh's Centenary , 2021 .

[3]  I. Turksen Interval valued fuzzy sets based on normal forms , 1986 .

[4]  Ioan Dzitac,et al.  E-learning Platforms in Higher Education. Case Study , 2014, ITQM.

[5]  Sorin Nadaban,et al.  Fuzzy TOPSIS: A General View , 2016 .

[6]  Bogdana Stanojević,et al.  On the ratio of fuzzy numbers – exact membership function computation and applications to decision making , 2015 .

[7]  Florin Gheorghe Filip,et al.  Fuzzy Logic Is Not Fuzzy: World-renowned Computer Scientist Lotfi A. Zadeh , 2017, Int. J. Comput. Commun. Control.

[8]  Hao Liang,et al.  A new correlation coefficient of BPA based on generalized information quality , 2021, Int. J. Intell. Syst..

[9]  Simona Dzitac,et al.  University Level Learning and Teaching via E-Learning Platforms , 2015, ITQM.

[10]  Lotfi A. Zadeh,et al.  Soft computing and fuzzy logic , 1994, IEEE Software.

[11]  Changlin Mei,et al.  Entropy of interval-valued fuzzy sets based on distance and its relationship with similarity measure , 2009, Knowl. Based Syst..

[12]  Huchang Liao,et al.  Soft Computing Techniques and Their Applications in Intel-ligent Industrial Control Systems: A Survey , 2021, Int. J. Comput. Commun. Control.

[13]  Krassimir T. Atanassov,et al.  Intuitionistic Fuzzy Sets - Theory and Applications , 1999, Studies in Fuzziness and Soft Computing.

[14]  Simona Dzitac,et al.  PRUDENT DECISIONS TO ESTIMATE THE RISK OF LOSS IN INSURANCE , 2017 .

[15]  Ioan Dzitac,et al.  Balancing Between Exploration and Exploitation in ACO , 2017, Int. J. Comput. Commun. Control.

[16]  Guo-Jun Wang,et al.  Intuitionistic fuzzy sets and L-fuzzy sets , 2000, Fuzzy Sets Syst..

[17]  Simona Dzitac,et al.  Decision Support Model for Production Disturbance Estimation , 2014, Int. J. Inf. Technol. Decis. Mak..

[18]  Humberto Bustince,et al.  Entropy on intuitionistic fuzzy sets and on interval-valued fuzzy sets , 1996, Fuzzy Sets Syst..

[19]  K. Atanassov,et al.  Interval-Valued Intuitionistic Fuzzy Sets , 2019, Studies in Fuzziness and Soft Computing.

[20]  Ioan Dzitac,et al.  The Fuzzification of Classical Structures: A General View , 2015, Int. J. Comput. Commun. Control.

[21]  Zhigang Zeng,et al.  On the Functional Equivalence of TSK Fuzzy Systems to Neural Networks, Mixture of Experts, CART, and Stacking Ensemble Regression , 2019, IEEE Transactions on Fuzzy Systems.

[22]  Ioan Dzitac,et al.  Synthetic Genes for Artificial Ants. Diversity in Ant Colony Optimization Algorithms , 2010, Int. J. Comput. Commun. Control.

[23]  Simona Dzitac,et al.  Tool-Wear Analysis Using Image Processing of the Tool Flank , 2017, Symmetry.

[24]  Humberto Bustince,et al.  Vague sets are intuitionistic fuzzy sets , 1996, Fuzzy Sets Syst..

[25]  Ewa Roszkowska,et al.  Intuitionistic Fuzzy TOPSIS as a Method for Assessing Socioeconomic Phenomena on the Basis of Survey Data , 2021, Entropy.

[26]  Ronald R. Yager,et al.  Pythagorean fuzzy subsets , 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).

[27]  Etienne E. Kerre,et al.  On the relationship between some extensions of fuzzy set theory , 2003, Fuzzy Sets Syst..

[28]  Sorin Nadaban From Classical Logic to Fuzzy Logic and Quantum Logic: A General View , 2021 .

[29]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[30]  Ioan Dzitac,et al.  Artificial Intelligence + Distributed Systems = Agents , 2009, Int. J. Comput. Commun. Control.

[31]  L. A. ZADEH,et al.  The concept of a linguistic variable and its application to approximate reasoning - I , 1975, Inf. Sci..

[32]  Mehrdad Ashtiani,et al.  A propagation trust model in social networks based on the A* algorithm and multi-criteria decision making , 2021, Computing.

[33]  Lotfi A. Zadeh,et al.  A New Frontier in Computation-Computation with Information Described in Natural Language , 2007, 2007 IEEE International Symposium on Intelligent Signal Processing.