نتایج جستجو برای: interval valued fuzzy numbers

تعداد نتایج: 506704  

2014
Shuai Zhang Dejian Yu Yan Wang Wenyu Zhang

The evaluation is an important approach to promote the development of the E-Government. Since the rapid development of E-Government in the world, the E-Government performance evaluation has become a hot issue in the academia. In this paper, we develop a new evaluation method for the development of the E-Government based on the interval-valued intuitionistic fuzzy set which is a powerful techniq...

Journal: :Expert Syst. Appl. 2011
Zhou-Jing Wang Kevin W. Li Jianhui Xu

9 This article proposes an approach to handle multi-attribute decision making (MADM) 10 problems under the interval-valued intuitionistic fuzzy environment, in which both 11 assessments of alternatives on attributes (hereafter, referred to as attribute values) and 12 attribute weights are provided as interval-valued intuitionistic fuzzy numbers (IVIFNs). 13 The notion of relative closeness is e...

2012
Luciano Stefanini Laerte Sorini

Abstract The fuzzy transform setting (F-transform) is proposed as a tool for representation and approximation of type-1 and type-2 fuzzy numbers; the inverse F-transform on appropriate fuzzy partition of the membership interval [0,1] is used to characterize spaces of fuzzy numbers in such a way that arithmetic operations are de…ned and expressed in terms of the F-transform of the results. A typ...

Journal: :Fuzzy Sets and Systems 2007
Enriqueta Vercher José D. Bermúdez José Vicente Segura

This paper presents two fuzzy portfolio selection models where the objective is to minimize the downside risk constrained so that a given expected return should be achieved. We assume that the rates of returns on securities are approximated as LR-fuzzy numbers of the same shape, and that the expected return and risk are evaluated by interval-valued means. We establish the relationship between t...

2011
Jeong Yong Ahn Kyung Soo Han Sun Young Oh Chong Deuk Lee C. D. LEE

This study is to propose a new approach for medical diagnosis using the distance between interval-valued intuitionistic fuzzy sets. For this purpose, we developed an interview chart with interval fuzzy degrees based on the relation between symptoms and diseases (three types of headache), and utilized the interval-valued intuitionistic fuzzy weighted arithmetic average operator to aggregate fuzz...

Journal: :Int. J. Machine Learning & Cybernetics 2017
Irfan Deli

In this paper, the notion of the interval valued neutrosophic soft sets (ivn−soft sets) is defined which is a combination of an interval valued neutrosophic sets [36] and a soft sets [30]. Our ivn−soft sets generalizes the concept of the soft set, fuzzy soft set, interval valued fuzzy soft set, intuitionistic fuzzy soft set, interval valued intuitionistic fuzzy soft set and neutrosophic soft se...

2008
Xueling Ma Jianming Zhan Young Bae Jun

In this paper, we first introduce the concept of quasi-coincidence of a fuzzy interval value with an interval valued fuzzy set. By using this new idea, we consider the interval valued ( , fuzzy (implicative) ideals of pseudo-MV algebras and investigate some of their related properties. Some characterization theorems of these generalized fuzzy (implicative) ideals are derived. ) q ∈∈∨ −

Journal: :journal of sciences islamic republic of iran 0

in this paper, for a complete lattice l, we introduce interval-valued l-fuzzy ideal (prime ideal) of a near-ring which is an extended notion of fuzzy ideal (prime ideal) of a near-ring. some characterization and properties are discussed.

2015
MARCIN PEŁKA ANDRZEJ DUDEK Marcin Pełka Andrzej Dudek

Interval-valued data can find their practical applications in such situations as recording monthlyinterval temperatures at meteorological stations, daily interval stock prices, etc. The primary objectiveof the presented paper is to compare three different methods of fuzzy clustering for interval-valuedsymbolic data, i.e.: fuzzy c-means clustering, adaptive fuzzy c-means clustering a...

2011
Wieslaw A. Dudek W. A. Dudek

In this paper we introduce the notion of interval-valued (∈,∈ ∨qm̃)− fuzzy subquasigroups and present some of their properties. We characterize interval-valued (∈,∈ ∨qm̃)− fuzzy subquasigroups by their level subsets. The implication-based such new fuzzy subquasigroups are also established.

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