Fuzzy entropy and conditioning - Kosko () Citation Context ...ic entropy measures, and in approximate reasoning [5]. We can draw much inspiration from fuzzy set theory in this respect, where this problem has already been dealt with extensively. Many researchers =-=[4, 7, 11, 13, 14, ...
Optimization Models Using Fuzzy Sets and Possibility Theory, pp. 154–170. Reidel, Dordrecht (1987) Chapter Google Scholar Kitainik, L.: Fuzzy Decision Procedures with Binary Relations. Kluwer, Dordrecht (1993) Book MATH Google Scholar Kosko, B.: Fuzzy entropy and conditioning. Inf. Sci. ...
De Luca A. and Termini S. (1972), A definition of non-probailistic entropy in the setting of fuzzy sets theory,Information & Cont.,24, 301–312. ArticleGoogle Scholar De Luca A. and Termini S. (1974). Entropy of L-fuzzy sets,Information and Control,24, 55–73. ArticleMathSciNetMAT...
The preprocessing is carried out using Type-2 Fuzzy Image Enhancement (T2FIE) technique and segmentation using Interval Type-2 Fuzzy set theory and relative entropy. Collaborative Fuzzy Clustering (CFC) is used for feature extraction. In approximate reasoning step, an astrocytoma is detected and ...
Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling-Narayanghat road section in Nepal Himalaya. Nat. Hazards 65, 135-165.https://doi.org/10.1007/s11069-012-0347-6. [35] Di Traglia, F., Bartolini, ...
Fuzzy entropy and conditioning. Inf Sci A new nonprobabilistic entropy measure is introduced in the context of fuzzy sets or messages. Fuzzy units, or fits, replace bits in a new framework of fuz... B Kosko - 《Information Sciences》 被引量: 831发表: 1986年 A System of Logic, Ratioci...
A fuzzy comprehensive evaluation and entropy weight decision-making based method for power network structure assessment With the rapid development of the Chinese electric power industry, the working load of staff members in some provincial power dispatching centers has increased tremendously and may cause...
Miao, N. Entropy-Based LogTODIM–MACONT Techniques for Satisfaction Evaluation of Rural Living Environment Governance with Interval-Valued Pythagorean Fuzzy Information. Int. J. Fuzzy Syst. (2024). https://doi.org/10.1007/s40815-024-01863-4 Download citation Received10 August 2024 Revised05 Septemb...
Chen and Chen (2015) also applied an FTS-based granular computing approach with entropy-based discretization and binning-based partition methods to predict stock market prices. Another noteworthy attempt at the prediction of the stock market can be found in Ye et al. (2016), who used a multi...
For each ride of each sub-module, a fuzzy entropy value is determined using Shannon's definition as indicated in Equation 1.1 below, (and which is a measure of fuzziness/fuzzy energy) can be calculated for each individual rule of each sub-module network....