In this regard, various defuzzification methods viz. max-membership, centroid, weighted-average and mean-max methods are discussed here. This chapter also contains few MATLAB defuzzification programs.Concepts of Soft Computingdoi:10.1007/978-981-13-7430-2_7Snehashish Chakraverty...
Since our results are still based on the KM iterative procedure for interval type-reduction, we recall basic defuzzification methods for intervalvalued fuzzy sets. To make the following discussion complete, we leave proofs of propositions and theorems in this chapter instead of referring the reader ...
Defuzzification methods; Inference mechanisms; Construction of data base and rule base of FLC; The ball and beam problem; Aggregation in fuzzy system modelin... R Fullér - 《Advances in Soft Computing》 被引量: 401发表: 2000年 Simulation-based evaluation of defuzzification-based approaches to fu...
The purpose of research is to examine the hypothesis that the area ratio method can be used to compensate for the defuzzification interval narrowing error inherent in traditional models, such as center of gravity sums, height models, first maxima, mean maxima, and last maxima. Methods . A fuzzy...
In risk assessment models the soft computing methods are very popular, because they can handle the uncertainty and imprecision in the data and in the evaluation process. Nevertheless, in practical applications, especially equipment and engineering plans for the project sizing and design studies are ...
Soft Methods in Probability and StatisticsCouso I, Sanchez L (2008) Defuzzification of fuzzy p -values. In: Advances in soft computing, vol 48 (Soft methods for handling variability and imprecision). Springer, Heidelberg, pp 126–132I. Couso, L. S´anchez. Defuzzification of Fuzzy p- ...
Fortemps, P., Roubens, M.: Ranking and defuzzification methods based on area compensation. Fuzzy Sets and Systems 82, 319–330 (1996) Article MathSciNet MATH Google Scholar Grzegorzewski, P.: Nearest interval approximation of a fuzzy number. Fuzzy Sets and Systems 130, 321–330 (2002) ...
the aforementioned methods must be redesigned to allow scalability. Our proposal is based on a distributed MapReduce schema, relying on two ideas: first, a simple adaptation of a classic data-driven method to quickly obtain a set of rules, and, second, a novel scalable strategy that uses evol...
Rao, M.S. Arumugam, Two new and useful defuzzification methods based on root mean square value, Soft Computing, doi:10.1007/s00500-005-0042-6 (in press).A. Chandramohan, M.V.C. Rao, M.S. Arumugam, Two new and useful defuzzification methods based on root mean square value, Soft ...
Ranking of SVTN-numbers are always a necessary step in solving the MADM problems under SVTN environment, and the literature review reckoned the existence of six to seven ranking methods. After all the existing ranking methods of SVTN-numbers are examined, we firstly define the concept of ...