Zobrazeno 1 - 10
of 1 227
pro vyhledávání: '"R. Yager"'
Interval Type Interval and Cognitive Uncertain Information in Information Fusion and Decision Making
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-9 (2023)
Abstract More uncertainty can be obtained when real numbers are extended to intervals. The two new concepts proposed in this work are the natural extensions of cognitive interval information and cognitive uncertain information with real numbered valu
Externí odkaz:
https://doaj.org/article/4a8cda2540084ff3b9b01622cea40550
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 15, Iss 1, Pp 1-8 (2022)
Abstract Decision-makers’ subjective preferences can be well modeled using preference aggregation operators and related induced weights allocation mechanisms. However, when several different types of preferences occur in some decision environment w
Externí odkaz:
https://doaj.org/article/7cbe0da9618d40c38d5b33f3db7307cb
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 15, Iss 1, Pp 1-7 (2022)
Abstract Basic uncertain information is a newly proposed normative formulation to express and model uncertain information. This study further generalizes this concept by introducing the concept of refined interval of discourse in which the true value
Externí odkaz:
https://doaj.org/article/fa4df7155abf4952a322a0c2dd0853a0
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 44:8573-8583
In many multi criteria group decision making problems, the individual evaluation values offered by experts are with uncertainties. Therefore, when assigning weights to those experts using preferences induced weights allocation, we can have two types
Publikováno v:
Soft Computing. 27:8153-8159
Autor:
LeSheng Jin, Zhen-Song Chen, Jiang-Yuan Zhang, Ronald R. Yager, Radko Mesiar, Martin Kalina, Humberto Bustince, Luis Martínez
Publikováno v:
Information Sciences. 621:308-318
Intelligent systems are necessary to handle modern computer-based technologies managing information and knowledge. This book discusses the theories required to help provide solutions to difficult problems in the construction of intelligent systems. P
Publikováno v:
Journal of Mathematics, Vol 2021 (2021)
Traditional association rule extraction may run into some difficulties due to ignoring the temporal aspect of the collected data. Particularly, it happens in many cases that some item sets are frequent during specific time periods, although they are
Externí odkaz:
https://doaj.org/article/37554834ae55438f99a97e82783ed3f8
Publikováno v:
Journal of Intelligent & Fuzzy Systems. :1-8
This letter reports a new type of uncertain information that is different from some well known existing uncertain information, such as probability information, fuzzy information, interval information and basic uncertain information. This type of unce
Autor:
Abhijit Saha, Vladimir Simic, Svetlana Dabic-Miletic, Tapan Senapati, Ronald R. Yager, Muhammet Deveci
Publikováno v:
IEEE Transactions on Engineering Management. :1-15