Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Rinki Solanki"'
Publikováno v:
IEEE Access, Vol 9, Pp 99651-99666 (2021)
In this paper, the probabilistic version of intuitionistic fuzzy decision making methods is introduced to show the duality present within probabilistic distance. Here, two types of methods, namely, probabilistic intuitionistic fuzzy TOPSIS (PI-TOPSIS
Externí odkaz:
https://doaj.org/article/c4e467044cb548bd925d4b426fa371e1
Autor:
Rinki Solanki, Dhirendra Kumar
Publikováno v:
Multimedia Tools and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0dc2088583437d263067b5ed22748e96
https://doi.org/10.1007/s11042-023-14512-z
https://doi.org/10.1007/s11042-023-14512-z
Publikováno v:
Applied Soft Computing. 71:1176-1188
Clustering, which is one of the major unsupervised machine learning technique, plays an important role in many real world problems. For a clustering algorithm, the most desirable property is its guarantee to converge to a solution, which means mathem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::691b3d054140c7c303b6d1a70306aa93
https://doi.org/10.1016/j.asoc.2018.04.014
https://doi.org/10.1016/j.asoc.2018.04.014
A novel distance measure over intuitionistic fuzzy sets with its applications in Pattern Recognition
Publikováno v:
SSCI
In this paper, we propose a novel distance measure that relies on noble idea of implementing probability over IFSs. The probability for membership value, non-membership value and hesitation part could be appropriately determined through the methodolo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbc91db7e32d8cb221caf00a2c4b7aae
https://doi.org/10.1109/ssci.2018.8628798
https://doi.org/10.1109/ssci.2018.8628798
Publikováno v:
FUZZ-IEEE
We often have many datasets where hard clustering algorithms do not deliver satisfactory clustering results. It is found that many times fuzzy clustering technique improves the clustering results obtained by hard clustering algorithms. Fuzzy c-means
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb50f200f8dd61f902869485488ea245
https://doi.org/10.1109/fuzz-ieee.2018.8491602
https://doi.org/10.1109/fuzz-ieee.2018.8491602
Publikováno v:
FUZZ-IEEE
Supplier selection is a process in which one supplier is selected out of given suppliers on the basis of certain features such as reliability, maintainence, delivery performance, quality etc. Nowadays, supplier selection problem is a big issue becaus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31825ef384110023e9e56405008193d1
https://doi.org/10.1109/fuzz-ieee.2016.7737951
https://doi.org/10.1109/fuzz-ieee.2016.7737951
Publikováno v:
FUZZ-IEEE
In Intuitionistic fuzzy sets(IFSs), experts assign both membership value and non-membership value to each fuzzy element x with a certain degree of hesitation. The hesitancy in the opinion of the experts appear due to incomplete information available
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a2129a9c0688e400b0c1578902dd485
https://doi.org/10.1109/fuzz-ieee.2015.7337946
https://doi.org/10.1109/fuzz-ieee.2015.7337946