Journal ArticleDOI
Generation of linear orders for intervals by means of aggregation functions
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TLDR
This work proposes a method to build admissible orders in terms of two aggregation functions and proves that some of the most used examples of total orders that appear in the literature are specific cases of this construction.About:
This article is published in Fuzzy Sets and Systems.The article was published on 2013-06-01. It has received 280 citations till now. The article focuses on the topics: Interval order & Fuzzy set.read more
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Book ChapterDOI
Information Aggregation and Fuzzy Decision Making Based on Vague Set Theory
TL;DR: In this article , a complete fuzzy decision making method based on Vague set theory is proposed, and explains the application of this method through the evaluation of teaching quality, which discusses information aggregation and linear ordering, two key problems in the process of fuzzy decision-making.
Proceedings ArticleDOI
Towards Interval-Valued Fuzzy Approach to Video Streaming Traffic Classification
TL;DR: In this article , an interval-valued fuzzy logic approach is proposed for video streaming traffic classification, which considers the uncertainties generated by variations in network conditions and the parameter imprecision affecting the behavior of network flow.
Book ChapterDOI
Interval-Valued \(E_N\)-functions and Similarity Measures
Zdenko Takáč,Humberto Bustince,Javier Fernández,Graçaliz Pereira Dimuro,Tiago da Cruz Asmus,Aitor Castillo +5 more
TL;DR: A definition of interval-valued similarity measures taking into account the width of the input intervals is introduced and a construction method based on the aggregation of intervals-valued restricted equivalence functions is discussed.
Journal ArticleDOI
Interval-valued Atanassov intuitionistic t-norms and t-conorms endowed with the usual or admissible orders
Book ChapterDOI
Unbalanced OWA Operators for Atanassov Intuitionistic Fuzzy Sets
Laura De Miguel,Edurne Barrenechea,Miguel Pagola,Aranzazu Jurio,José Antonio Sanz,Mikel Elkano,Humberto Bustince +6 more
TL;DR: This work introduces a new class of OWA operators for Atanassov intuitionistic fuzzy sets which distinguishes between the weights for the membership degree and the weight for the nonmembership degree, and applies these aggregation functions in an illustration of a decision making problem.
References
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Journal ArticleDOI
The concept of a linguistic variable and its application to approximate reasoning—II☆
TL;DR: Much of what constitutes the core of scientific knowledge may be regarded as a reservoir of concepts and techniques which can be drawn upon to construct mathematical models of various types of systems and thereby yield quantitative information concerning their behavior.
Journal ArticleDOI
Some geometric aggregation operators based on intuitionistic fuzzy sets
Zeshui Xu,Ronald R. Yager +1 more
TL;DR: This paper develops some new geometric aggregation operators, such as the intuitionistic fuzzy weighted geometric (IFWG) operator, the intuitionists fuzzy ordered weighted geometric(IFOWG)operator, and the intuitionism fuzzy hybrid geometric (ifHG) operators, which extend the WG and OWG operators to accommodate the environment in which the given arguments are intuitionistic fuzz sets.
Book
Fuzzy Preference Modelling and Multicriteria Decision Support
János Fodor,Marc Roubens +1 more
TL;DR: This dissertation aims to provide a history of web exceptionalism from 1989 to 2002, a period chosen in order to explore its roots as well as specific cases up to and including the year in which descriptions of “Web 2.0” began to circulate.
Book
Fuzzy sets and systems
TL;DR: Fuzzy sets as mentioned in this paper are a class of classes in which there may be grades of membership intermediate between full membership and non-membership, i.e., a fuzzy set is characterized by a membership function which assigns to each object its grade of membership.