Zobrazeno 1 - 10
of 44
pro vyhledávání: '"V., Lakshmana Gomathi Nayagam"'
Publikováno v:
Neutrosophic Sets and Systems, Vol 58, Pp 379-396 (2023)
The notion of fuzzy subsets was first introduced by Zadeh in 1965, and was later extended to intuitionistic fuzzy subsets by Atanassov in 1983. Since the inception of fuzzy set theory, we have encountered a number of generalizations of sets, one of w
Externí odkaz:
https://doaj.org/article/fdeb37acce334dc1ad9fd097619a37dc
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-22 (2023)
Abstract The article aims to investigate the distance measure between any two conventional type trapezoidal-valued intuitionistic fuzzy sets (CTrVIFSs) whose membership and non-membership grades of an element are expressed as conventional trapezoidal
Externí odkaz:
https://doaj.org/article/b58663bd0d8e470fb6e7c84423944e16
Publikováno v:
Neural Computing and Applications. 35:5939-5962
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::325a1471eb62a320d4c970890bd75d23
https://doi.org/10.1007/s00521-022-07983-y
https://doi.org/10.1007/s00521-022-07983-y
Publikováno v:
Soft Computing. 26:11287-11293
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c07ef41a0929715c539f7c57e52c382
https://doi.org/10.1007/s00500-022-07382-4
https://doi.org/10.1007/s00500-022-07382-4
Publikováno v:
In Expert Systems With Applications 30 October 2016 60:269-279
L.A.Zadeh (1965) proposed the concept of fuzzy subsets, which was later expanded to include intuitionistic fuzzy subsets by K.Atanassov (1983). We have come across several generalisations of sets since the birth of fuzzy sets theory, one of which is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::054c52959bc36f0118793f445ab957ac
Publikováno v:
Fuzzy Information and Engineering, Vol 8, Iss 2, Pp 237-254 (2016)
Fuzzy number was introduced by Dubois and Prade [10] to handle imprecise numerical quantities. Later it was generalized to intuitionistic fuzzy number by Burillo et al. [5]. Ranking intuitionistic fuzzy numbers plays an important role in decision mak
Externí odkaz:
https://doaj.org/article/d51dd3d6d3eb41b6ad1a71da54dd0d75
Publikováno v:
Complex & Intelligent Systems. 7:1459-1487
Numerous research papers and several engineering applications have proved that the fuzzy set theory is an intelligent effective tool to represent complex uncertain information. In fuzzy multi-criteria decision-making (fuzzy MCDM) methods, intelligent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3663a0780938b4d110e2875a71ad6800
https://doi.org/10.1007/s40747-020-00242-4
https://doi.org/10.1007/s40747-020-00242-4
Publikováno v:
Soft Computing. 26:14041-14041
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6a642d4431c49caefc08232b6087aa5
https://doi.org/10.1007/s00500-022-07564-0
https://doi.org/10.1007/s00500-022-07564-0
Publikováno v:
Neural Computing and Applications. 32:3749-3761
The concept of fuzzy numbers has been generalized to intuitionistic fuzzy interval numbers (IFINs) to solve problems with imprecision in the information modeling. Similarity measure is an important tool to measure the degree of resemblance between an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4fb0b5b35abff5d75c3788f3f24524b
https://doi.org/10.1007/s00521-019-04277-8
https://doi.org/10.1007/s00521-019-04277-8