... team members. S. Mahdi Hosseini can be contacted at: hosseini777@yahoo.com © Emerald Publishing Limited 2017 Emerald Publishing Limited Licensed re-use rights only Multi-objective optimization Knowledge sharing Fuzzy sets NSGA-II Credibility measure Team formation...

... a generalization, in Fuz, of a notion in Top it is natural to request of the generalization that when restricted to Top it should give the original notion. Such an extension is called a good extention (Lowen, 1978). A fuzzy set ν is fuzzy compact if for all family...

...Mourad Oussalah This paper deals with the theoretical analysis of the notion of interval valued fuzzy sets (IVFS) applied to possibility measures. This permits to provide interval valued possibility measure (IVPM) and interval valued necessity measure (IVNM) as well as interval valued possibility...

...Constantin Virgil Negoita This paper is an attempt to stimulate thought and discourse towards postmodernism and its less known roots. It addresses the relationship between postmodernism and the development of the fuzzy set theory, in the 1970s. There is a sense among many people today...

... and compatibility within the framework of fuzzy set theory and examines the primary importance of these concepts in approximate reasoning. Examples of the application of similarity measures in various areas including expert systems,information retrieval, and intelligent database systems are provided. Part I...

... an extension of fuzzy sets named evidence sets as the mathematical mechanisms to implement the categorization processes. It is a development of some aspects of Pask’s conversation theory. It is also an instance of the notion of linguistic‐based selected self‐organization here described...

.... The paper elaborates on and contrasts between various forms of information granulation such as set theory, shadowed sets, and fuzzy sets. It is revealed that a set‐based codebook can be easily enhanced by the use of the shadowed sets. This also raises awareness about the performance of the quantization...

... Limited 2000 Cybernetics Neural networks Organizations Control Information Fuzzy sets The definition of neurocybernetics as a science concerned with the processes of the control and communication in the nervous systems as the leading control and information systems of animal...

... is carried out with the aid of context‐based fuzzy clustering – a generalized version of the well‐known FCM algorithm that is well‐suited to the design of fuzzy sets and relations being used as a blueprint of the plug‐ins. An overall modeling architecture combining the global model with its plug‐ins...

... of recognizable sets. © MCB UP Limited 1999 Cybernetics Fuzzy sets Language On fuzzy recognizers D.S. Malik and John N. Mordeson Department of Mathematics and Computer Science, Creighton University, Omaha, Nebraska, USA Keywords Cybernetics, Fuzzy sets, Language Abstract In this paper, we define...

... to different classes. Cybernetics Fuzzy sets Neural networks Pattern recognition Prototyping (3) The iterative scheme leading either to a local minimum or a saddle point of Q is well known[ 10 ] and concerns a series of updates of the partition matrix written down as 1. U ∈ U...

... the X_P^* defined by Equation (9) is easy to find, it may not be preferred from a fuzzy optimization point of view. This can be illustrated by the following example. © MCB UP Limited 1997 Fuzzy sets Optimization In the nearly three decades since its publication, the pioneering...

... uncertainty‐based information that are beyond the narrow scope of classical information theory. Introduces well‐justified measures of uncertainty in fuzzy set theory, possibility theory, and Dempster‐Shafer theory. Shows how these measures are connected with the classical Hartley measure and Shannon entropy...

... of pullback, by a fuzzy system. Artificial intelligence Cybernetics Fuzzy sets Neural networks Feedback and pullback in computer science Constantin Virgil Negoita City University of New York, New York, USA Feedback and pullback in computer science 145 Introduction Cybernetics distilled and clarified...

...Ronald R. Yager Focuses on the applications of fuzzy set theory as a tool for the construction of multi‐criteria decision functions from specifications expressed in natural language. Starting with the ability to represent individual criteria satisfactions in terms of membership of fuzzy subsets...

... guarantee the convergence E(f_n) → E(f), where (f_n) is a sequence of fuzzy sets and E is an entropy. © MCB UP Limited 1995 Axioms Ecology Entropy Fuzzy sets On the continuity of fuzzy entropies Rodney C...

..., strong connectedness, commutativity, perfection and state independence. Thus a fuzzy finite state machine which is a Cartesian composition of submachines can be studied in terms of smaller machines. © MCB UP Limited 1995 Fuzzy logics Fuzzy sets Mathematics Kybernetes 24,4 The Cartesian...

..., one can consider Zadeh s point of view as a bottom-top approach, from the definition of possibility to that of relative information, despite his somewhat restrictive expression of main concern . On the one hand, Zadeh[2] put in evidence strong relations between the theory of fuzzy sets and the theory...

...Jorge Gasos; Anca Ralescu Addresses the problem of matching two fuzzy sets. Proposes a matching method that considers the extent to which both fuzzy sets have the same meaning. For a given degree of similarity between two sets, the same meaning decreases as the fuzziness increases...

...Constantin Virgil Negoita Considers and defends the realist understanding of the notion of fuzzy system, that is, the view that fuzzy functions are ontologically respectable for scientific explanations of fuzzy controllers. Looks at the arguments concerned with the revival of fuzzy set theories...