Results 271 to 280 of about 12,229,200 (313)

Some applications of vague sets

International Journal of Advanced Intelligence Paradigms, 2023
P. K. Kishore Kumar, Hossein Rashmanlou, Siamak Firouzian, Mostafa Nouri Jouybari   +3 more
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Boolean-Valued Sets as Vague Sets

2014
The standard fuzzy logic and fuzzy set theory are degree-functional and thus susceptible to the problem of penumbral connections. This chapter attempts to radically revise them in order to remove this feature. Whereas the original theory assigns any real number in [0,1] to a proposition or set membership, the revised theory, called Boolean-valued set ...
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Higher order vagueness and rough sets

2013 IEEE International Conference on Granular Computing (GrC), 2013
It is well-known the naive approach to consider the main flaw to vague terms is that there are no sharp boundaries between positive and negative extensions, i.e., some borderline cases exist if the predicates are vague. However, Z. Pawlak has proposed a prominent approach to vagueness based on rough set theory but it seemed to be implausible due to the
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A General Model for Transforming Vague Sets into Fuzzy Sets

2006
The relationship of vague sets and fuzzy sets is analyzed and the problem of transforming vague sets into fuzzy sets is studied in this paper. It is found to be a many-to-one mapping relation to transform a vague set into a fuzzy set. A general model for transforming vague sets into fuzzy sets is proposed.
Yong Liu, Guoyin Wang 0001, Lin Feng 0003   +2 more
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Vague parameterized vague soft set theory and its decision making

Journal of Intelligent & Fuzzy Systems, 2017
In this paper, we first define vague parameterized vague soft sets (vpvs-sets) and study some of their properties. We then introduce vpvs-aggregation operator to form vpvs-decision making method that allows constructing more efficient decision processes.
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Rough sets and vague concepts

Fundam. Informaticae, 2005
Summary: The approximation space definition has evolved in rough set theory over the last 15 years. The aim was to build a unified framework for concept approximations. We present an overview of this evolution together with some operations on approximation spaces that are used in searching for relevant approximation spaces.
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Approximation operators based on vague relations and roughness measures of vague sets

Frontiers of Computer Science in China, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A study on translational invariant vague set of a $$\Gamma $$-semiring

, 2020
Y. Bhargavi
semanticscholar   +1 more source

Fuzzy sets and vague environments

Fuzzy Sets and Systems, 1994
Abstract In this paper we propose a natural approach to handle imprecise numbers as they arise for example from measurements. Fuzzy sets turn out to be a canonical representation for such imprecise numbers that are induced by taking different tolerance or error bounds into account. Fuzzy sets are induced by scaling factors that describe the magnitude
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Decision Support System for Heart Disease Diagnosis Using Interval Vague Set and Fuzzy Association Rule Mining

IEEE International Conference on Distributed Computing Systems, 2018
P. Umasankar, V. Thiagarasu
semanticscholar   +1 more source