Results 31 to 40 of about 5,900 (204)
In the process of land cover segmentation from remote sensing image, there are some uncertainties such as “significant difference in class density”, “different objects with same spectrum”, and “same object with ...
Chengmao Wu, Xiaokang Guo
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Measures of embedding for interval-valued fuzzy sets
Interval-valued fuzzy sets are a generalization of classical fuzzy sets where the membership values are intervals. The epistemic interpretation of interval-valued fuzzy sets assumes that there is one real-valued membership degree of an element within the membership interval of possible membership degrees.
Agustina Bouchet +5 more
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Pythagorean hesitant fuzzy sets are widely watched because of their excellent ability to deal with uncertainty, imprecise and vague information. This paper extends Pythagorean hesitant fuzzy environments to interval-valued Pythagorean hesitant fuzzy ...
Maoyin Zhang +3 more
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Characterizations of Ordered Semigroups by New Type of Interval Valued Fuzzy Quasi-Ideals
The concept of non-k-quasi-coincidence of an interval valued ordered fuzzy point with an interval valued fuzzy set is considered. In fact, this concept is a generalized concept of the non-k-quasi-coincidence of a fuzzy point with a fuzzy set.
Jian Tang, Xiangyun Xie, Yanfeng Luo
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Implication functions in interval-valued fuzzy set theory [PDF]
Interval-valued fuzzy set theory is an extension of fuzzy set theory in which the real, but unknown, membership degree is approximated by a closed interval of possible membership degrees.
Glad Deschrijver, Deschrijver, Glad
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On Interval-Valued Hesitant Fuzzy Soft Sets [PDF]
By combining the interval-valued hesitant fuzzy set and soft set models, the purpose of this paper is to introduce the concept of interval-valued hesitant fuzzy soft sets. Further, some operations on the interval-valued hesitant fuzzy soft sets are investigated, such as complement, “AND,” “OR,” ring sum, and ring product operations.
Haidong Zhang +2 more
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Distance Measures between the Interval-Valued Complex Fuzzy Sets [PDF]
Complex fuzzy set (CFS) is a recent development in the field of fuzzy set (FS) theory. The significance of CFS lies in the fact that CFS assigned membership grades from a unit circle in the complex plane, i.e., in the form of a complex number whose ...
Songsong Dai, Bo Hu, Lvqing Bi
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Hesitant fuzzy sets, permitting the membership of an element to be a set of several possible values, can be used as an efficient mathematical tool for modelling people’s hesitancy in daily life. In this paper, we extend the hesitant fuzzy set to interval-
Zhiming Zhang
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Modeling uncertainties associated with decision-making algorithms based on similarity measures of possibility belief interval-valued fuzzy hypersoft setting [PDF]
Hypersoft sets (HSSs) were initiated as an extension of soft sets (SSs) to address real-life scenarios involving multiple disjoint sets with di erent traits.
Mamika Ujianita Romdhini +3 more
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A new interval-valued approximation of interval-valued fuzzy numbers [PDF]
In this paper, we proposed a new interval-valued approximation of interval-valued fuzzy numbers, which is the best one with respect to a certain measure of distance between interval-valued fuzzy numbers.
Zainal, S. Z. +5 more
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