نتایج جستجو برای: intuitionistic fuzzy set
تعداد نتایج: 739517 فیلتر نتایج به سال:
Let G = (V,E) be the IFG and D be set of vertices, then D is said to be Intuitionistic point set dominating set of G if for every S⊆ VD there exists a node d ∈ D such that the Intuitionistic fuzzy sub graph < S∪{d} > induced by S∪{d} is a connected Intuitionistic fuzzy graph. In this paper we study some results on Intuitionistic Point set dominating set and its number of IFGs. Also we establish...
The rough set theory was proved of its effectiveness in dealing with the imprecise and ambiguous information. Dominance-based Rough Set Approach (DRSA), as one of the extensions, is effective and fundamentally important for Multiple Criteria Decision Analysis (MCDA). However, most of existing DRSA models cannot directly examine uncertain information within rough boundary regions, which might mi...
The purpose of this paper is to introduce and study the concepts of intuitionistic fuzzy weakly generalized closed set and intuitionistic fuzzy weakly generalized open set in intuitionistic fuzzy topological space. We investigate some of their properties. Also we study the application of intuitionistic fuzzy weakly generalized closed set namely intuitionistic fuzzy wT1/2 space and intuitionisti...
Although the rough set and intuitionistic fuzzy set both capture the same notion, imprecision, studies on the combination of these two theories are rare. Rule extraction is an important task in a type of decision systems where condition attributes are taken as intuitionistic fuzzy values and those of decision attribute are crisp ones. To address this issue, this paper makes a contribution of th...
An improvised technique is proposed in detecting and extracting color regions of an image using intuitionistic fuzzy set (IFS) theory. This will be very useful especially for remotely sensed images where different types of regions (agricultural, watery, or volcanic) are to be extracted. Comparing with non-fuzzy and fuzzy method, results of an extracted image were found better due to considerati...
Existing task scheduling algorithms in cloud computing have lack the ability to be aware of users' quality of service (QoS) preference. In order to address this problem, "intuitionistic fuzzy analysis" is introduced to determine users' QoS preference. In addition, the "optimal sequence decision method" helps experts use their professional knowledge to decide the weights of QoS classes. Using th...
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