Fuzzy sets and their applications to cognitive and decision processesA fuzzy set is a class in which there may be a continuum of grades of membership. Papers are presented from a US-Japan seminar, which discuss the theory and mathematical aspects of fuzzy sets and their use in human cognition...
FUZZY SETS AND THEIR APPLICATIONS TO COGNITIVE AND DECISION PROCESSES, edited by Lofti A. Zadeh et ai, Academic Press, New York, 1975,496 pp.doi:10.1080/03081077608934752NoneInternational Journal of General Systems
Fuzzy Sets and Their Applications to Cognitive and Decision Processes contains the proceedings of the U.S.-Japan Seminar on Fuzzy Sets and Their Applications, held at the University of California in Berkeley, California, on July 1-4, 1974. The seminar provided a forum for discussing a broad ...
图书Fuzzy Sets and Their Applications 介绍、书评、论坛及推荐
Hesitant fuzzy set (HFS) has been a very popular and useful tool to express the uncertainty of decision makers (DMs) when they could not give a determination among several different values in the process of representing preferences. In this paper, we mainly focus on digging the potential/deeper...
Novel similarity measures between picture fuzzy sets and their applications to pattern recognition and medical diagnosis 2022, Granular Computing Picture Fuzzy N-Soft Sets and Their Applications in Decision-Making Problems 2021, Fuzzy Information and Engineering Picture fuzzy MCDM approach for risk assessmen...
thedegreeofsim-ilaritybetweentwoobjects.Measuresofsimilaritybetweenfuzzysetshavegainedatten-tionfromresearchersfortheirwideapplicationsinvariousfields,suchaspatternrecog-nition,machinelearning,decisionmakingandimageprocessing,manymeasuresofsimi-laritybetweenfuzzysetshavebeenproposedandresearchedinrecentyears(see,Bustin...
The main feature of Pythagorean fuzzy sets is that it is characterized by five parameters, namely membership degree, nonmembership degree, hesitancy degree, strength of commitment about membership, and direction of commitment. In this paper, we first investigate four existing comparison methods for ran...
In fact, hesitancy is the most essential characteristic of hesitant fuzzy sets. In this paper, we propose some new distance and similarity measures by taking into account the hesitance of the hesitant fuzzy sets and investigate their application. The organization of our work is as follows. In ...
Fuzzy integrals, in general, and Sugeno integrals, in particular, are well known aggregation operators. They can be used in a great variety of decision making applications. Nevertheless, their use is not easy as their interpretation is not straightforward. In this paper we study the interpretation...