Fuzzy clustering is well known as a robust and efficient way to reduce computation cost to obtain the better results. In the literature, many robust fuzzy clustering models have be...
Mohammad Hossein Fazel Zarandi, Marzie Zarinbal, I...
We show how to extract classical programs expressed in Krivine λc-calculus from proof-terms built in a proof-irrelevant and classical version of the calculus of constructions with...
A fuzzy tail pursuit guidance algorithm is proposed as an alternative to the conventional guidance methods. The purpose of this scheme is to obtain an control agains to the changin...
This paper presents a methodology that integrates fuzzy clustering and computer simulation and demonstrates its use in modeling earthmoving operations. A simulation system (SimEar...
According to the practical need for uncertain time modeling and analysis in WfMSs, based on possibility theory, the paper firstly introduces fuzzy time and puts forward the concep...