Results 161 to 170 of about 7,058,540 (197)
Some of the next articles are maybe not open access.
Entropy on intuitionistic fuzzy soft sets and on interval-valued fuzzy soft sets
Information Sciences, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yuncheng Jiang +3 more
exaly +3 more sources
Generalized interval-valued hesitant intuitionistic fuzzy soft sets
Journal of Intelligent & Fuzzy Systems, 2021This paper aims to extend the Interval-valued Intuitionistic Hesitant Fuzzy Set to a Generalized Interval-valued Hesitant Intuitionistic Fuzzy Soft Set (GIVHIFSS). Definition of a GIVHIFSS and some of their operations are defined, and some of their properties are studied. In these GIVHIFSSs, the authors have defined complement, null, and absolute. Soft
Admi Nazra +4 more
openaire +1 more source
Interval-valued Fuzzy Soft Sets [PDF]
This paper extends the work of Maji et al. (2001) to present the concept of interval-valued fuzzy soft sets and to present an algorithm for finding where the degree of membership are represented by interval values in [0, 1]. The proposed method is more flexible than the one presented in Maji et al.
exaly +2 more sources
Novel distance, similarity and entropy measures for interval valued intuitionistic fuzzy soft set
Journal of Intelligent & Fuzzy Systems, 2022Soft and fuzzy sets are generic tools to deal with uncertainty. Both contemporary sets are not suitable to deal with all type of uncertain parameters.
Sonia, Pratiksha Tiwari, Priti Gupta
semanticscholar +1 more source
Entropy on Interval-Valued Intuitionistic Fuzzy Soft Set
2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 2015In this paper, the concept of soft entropy is firstlyproposed to measure the intrinsic uncertainty of a soft set. For interval-valued intuitionistic fuzzy soft sets, axiomaticaldefinitions of intuitionistic entropy, fuzzy entropy and soft en-tropy are proposed. The corresponding calculate formulae aregiven respectively. Different types of uncertainties
Yaya Liu, Keyun Qin
openaire +1 more source
Data Analysis Approach for Incomplete Interval-Valued Intuitionistic Fuzzy Soft Sets [PDF]
The model of interval-valued intuitionistic fuzzy soft sets is a novel excellent solution which can manage the uncertainty and fuzziness of data. However, when we apply this model into practical applications, it is an indisputable fact that there are some missing data in many cases for a variety of reasons.
Hongwu Qin, Xiuqin Ma
exaly +3 more sources
Interval-valued complex fuzzy soft sets
AIP Conference Proceedings, 2017Type-2 fuzzy sets allow us to incorporate the uncertainties about the membership functions into fuzzy sets, thereby overcoming a problem that is inherent in type-1 fuzzy sets, which does not allow for any uncertainty in assigning values to the membership functions.
Ganeshsree Selvachandran +1 more
openaire +1 more source
On Possibility Interval-Valued Fuzzy Soft Sets
Applied Mechanics and Materials, 2013Soft set theory, initiated by Molodtsov, can be used as a new mathematical tool for dealing with imprecise, vague, and uncertain problems. In this paper, the concepts of two types of possibilÂity interval-valued fuzzy soft sets are proposed. Their operations and basic properties are studied which are subset, equal, relative complement, union ...
Yong Yang, Cong Cong Meng
openaire +1 more source
Journal of Ambient Intelligence and Humanized Computing, 2020
Although some statistical tools, such as mean and median, used for modelling a problem containing parameters or alternatives with multiple intuitionistic fuzzy values because these values are obtained in a specific period, decrease uncertainty, they lead to data loss. However, interval-valued intuitionistic fuzzy values can overcome such a concern. For
Tugçe Aydin, Serdar Enginoglu
openaire +2 more sources
Although some statistical tools, such as mean and median, used for modelling a problem containing parameters or alternatives with multiple intuitionistic fuzzy values because these values are obtained in a specific period, decrease uncertainty, they lead to data loss. However, interval-valued intuitionistic fuzzy values can overcome such a concern. For
Tugçe Aydin, Serdar Enginoglu
openaire +2 more sources
Journal of Intelligent & Fuzzy Systems, 2020
As a combination of an interval-valued intuitionistic fuzzy soft set (IVIFSS) and interval-valued intuitionistic fuzzy set (IVIFS), the existing notion of the generalized interval-valued intuitionistic fuzzy soft set (GIVIFSS) is clarified and ...
Muhammad Jabir Khan +3 more
semanticscholar +1 more source
As a combination of an interval-valued intuitionistic fuzzy soft set (IVIFSS) and interval-valued intuitionistic fuzzy set (IVIFS), the existing notion of the generalized interval-valued intuitionistic fuzzy soft set (GIVIFSS) is clarified and ...
Muhammad Jabir Khan +3 more
semanticscholar +1 more source

