Research ArticleOpen AccessGoogle Scholar indexed
Some Linguistic Scaling Issues of Fuzzy Sets Based Decision-Making Systems
Applied AI Services, Brookline, USA
- 1 Applied AI Services, Brookline, USA
Journal of Software Engineering and Applications·Volume 18 (2025)·Pages 427–445·Published 18 November 2025·DOI10.4236/jsea.2025.1811026
Copy link · social · email
Abstract
In this study we are examining expert assessment ( EA ) non-linear scaled based approach to map original physical scale into a linguistical one. We introduce fuzzification of linguistic clustering mechanism for both input and output of a model under investigation, followed by appropriate decision-making apparatus. We also offered defuzzification approach for presented fuzzy model output. All results are thoroughly illustrated by proper experimental results.
KeywordsLinguistic ScaleClusterCentroidFuzzy LogicModus PonnensFuzzy Conditional Inference
- Bezdek, J. (1981) C. Pattern Recognition with Fuzzy Objective Function Algorithms. Springer.
- Chiu, S.L. (1994) Fuzzy Model Identification Based on Cluster Estimation. Journal of Intelligent & Fuzzy Systems , 2, 267-278. https://doi.org/10.3233/ifs-1994-2306
- Yager, R.R. and Filev, D.P. (1994) Generation of Fuzzy Rules by Mountain Clustering. Journal of Intelligent & Fuzzy Systems , 2, 209-219. https://doi.org/10.3233/ifs-1994-2301
- Gustafson, D. and Kessel, W. (1978) Fuzzy Clustering with a Fuzzy Covariance Matrix. 1978 IEEE Conference on Decision and Control Including the 17 th Symposium on Adaptive Processes , San Diego, 10-12 January 1979, 761-766. https://doi.org/10.1109/cdc.1978.268028
- Gath, I. and Geva, A.B. (1989) Unsupervised Optimal Fuzzy Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence , 11, 773-780. https://doi.org/10.1109/34.192473
- Höppner, F. (1999) Fuzzy Cluster Analysis: Methods for Classification, Data Analysis, and Image Recognition. Wiley, 49-53.
- Tserkovny, A. (2017) A T-Norm Fuzzy Logic for Approximate Reasoning. Journal of Software Engineering and Applications , 10, 639-662. https://doi.org/10.4236/jsea.2017.107035
- Aliev, R. and Tserkovny, A. (2011) Systemic Approach to Fuzzy Logic Formalization for Approximate Reasoning. Information Sciences , 181, 1045-1059. https://doi.org/10.1016/j.ins.2010.11.021
- Tserkovny, A. (2016) Fuzzy Logic for Incidence Geometry. The Scientific World Journal , 2016, Article ID: 9057263. https://doi.org/10.1155/2016/9057263
- Tserkovny, A. (2017) A Fuzzy Logic Based Resolution Principal for Approximate Reasoning. Journal of Software Engineering and Applications , 10, 793-823. https://doi.org/10.4236/jsea.2017.1010045
- Tserkovny, A. (2022) Some Considerations about Fuzzy Logic Based Decision Making by Autonomous Intelligent Actor. Journal of Software Engineering and Applications , 15, 19-58. https://doi.org/10.4236/jsea.2022.152002
- Tserkovny, A. (2023) Dynamically Scaled Fuzzy Control of Autonomous Intelligent Actor. Journal of Software Engineering and Applications , 16, 301-313. https://doi.org/10.4236/jsea.2023.167016
- Tserkovny, A. (2024) A Neuro T-Norm Fuzzy Logic Based System. Journal of Software Engineering and Applications , 17, 638-663. https://doi.org/10.4236/jsea.2024.178035