Preface of the 'Symposium on Application of Fuzzy Logic and Neural Networks in Construction Management'

摘要

This Symposium focuses on methods for decision-making to solve construction management problems with the use of fuzzy logic and neural networks. During the last decade, fuzzy logic has been increasingly applied to the research area of construction management. It was found that fuzzy research, as applied in construction management in the past decade, can be divided into two broad fields, that is, (1) fuzzy set/fuzzy logic and (2) hybrid fuzzy techniques, with applications in four main categories, including (1) decision making, (2) performance, (3) evaluation/assessment and (4) modeling. A formal description of the theory of fuzzy sets was introduced in 1965 by I. A. Zadeh and he is considered to be the author of this theory. The basic aim of the theory is to represent existing inaccuracies included in some expressions in a natural language. Many authors think that combining the method of incomplete information with fuzzy sets theory, representing inaccurate information, can more thoroughly and naturally describe the phenomena of the realistic world.