Fuzzy Sets and Systems 6.5CiteScore 3.2 Impact Factor Special issues and article collections All special issues and article collections This page contains a list of all available article collections, special issues and supplements published within the journal. ...
Recently, the notion of a three-way fuzzy set is presented, inspired by the basic ideas of three-way decision and various generalized fuzzy sets, including lattice-valued fuzzy sets, partial fuzzy sets, intuitionistic fuzzy sets, etc. As the new theory o
CEI Inc. Two Examples of “ Sets” 1. All employees of XYZ who are over 1.8 m in height. 2. All employees of XYZ who are tall. The first example is a classical set -- we have a universe (all XYZ employees) and a membership rule that divides the universe into members (those over...
For classical sets one has with the cumulative hierarchy of sets, with axiomatizations like the system ZF, and with the category SET of all sets and mappings standard approaches toward global universes of all sets. We discuss here the corresponding situation for fuzzy set theory. Our emphasis wi...
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The fuzzy sets of rules are independent from each other. Each dimension of data is tailored only for one rule6. In order to improve the precision, many optimization-based FCM models have been proposed combining with metaheuristic optimization algorithms, such as genetic algorithm(GA)7,8 and PSO...
The recent modification of species distribution ranges in response to a warmer climate has constituted a major and generalized biogeographic change. The main driver of the shift in distribution is the disequilibrium of the species ranges with their clima
the row in question by using a high value for the number of matches to return and a high threshold for required similarity. However, Fuzzy Grouping incorporates the additional intelligence of appropriately grouping tuples into sets of duplicates along with a suggestion for a canonical representative...
In this work, a classifier that combines the relative merits of fuzzy sets and extreme learning machine (FELM) for clinical datasets is proposed. The three major subsystems in the FELM framework are preprocessing subsystem, fuzzification subsystem and classification subsystem. Missing value imputation ...
刊名:Fuzzy sets and systems 2020年第1期 摘要:Despite the fact that fuzzy sets can generally have different domains, standard definitions of fuzzy set operations assume a common reference set for all their operands. The usual way to satisfy this precondition is to assign zero membership to elemen...