Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Debashish Malakar"'
Autor:
Yeshwant Singh, Anupam Biswas, Angshuman Bora, Debashish Malakar, Subham Chakraborty, Suman Bera
Publikováno v:
Machine Learning Algorithms for Signal and Image Processing. :45-63
Autor:
Thounaojam Chinglemba, Soujanyo Biswas, Debashish Malakar, Vivek Meena, Debojyoti Sarkar, Anupam Biswas
Publikováno v:
Studies in Computational Intelligence ISBN: 9783031098345
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8bbf337121c26f01f86b57abbfe19df
https://doi.org/10.1007/978-3-031-09835-2_2
https://doi.org/10.1007/978-3-031-09835-2_2
Publikováno v:
Proceedings of the Seventh International Conference on Mathematics and Computing ISBN: 9789811668890
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ff81c2bd3c273384510b666a2acfb82
https://doi.org/10.1007/978-981-16-6890-6_26
https://doi.org/10.1007/978-981-16-6890-6_26
Publikováno v:
International Journal of Fuzzy System Applications. 7:1-43
Decision making using fuzzy soft set (FSS) and its extensions has become the most significant research area in the age of uncertainty. In this article, the authors survey the evolution of fuzzy soft sets (FSSs) during the last decade and a half (2001
Publikováno v:
Neural Computing and Applications. 31:1023-1039
Hesitant fuzzy soft set (HFSS) allows each element to have different number of parameters and the values of those parameters are represented by multiple possible membership values. HFSS is considered as a powerful tool to represent uncertain informat
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9788132226932
FICTA
FICTA
Hesitant fuzzy linguistic term set (HFLTS) provides a new and more powerful technique to represent the qualitative judgments of experts. Molodtsov [13] proposed soft set theory which is used as a general mathematical tool for dealing with uncertainty
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0924754eb1b114aa2d2966c07f7f461e
https://doi.org/10.1007/978-81-322-2695-6_35
https://doi.org/10.1007/978-81-322-2695-6_35