Conventionally modelling and simulation of complex nonlinear systems has been to construct a mathematical model and examine the system’s evolution or its control. This kind of approach can fail for many of the very large non-linear and complex systems being currently studied. With the invention of new advanced high-speed computers and the application of artificial intelligence paradigms new tec...

The food and beverage industry is the second largest contributor to Indonesia’s economy; however, most firms significantly, negatively, impact ecological economic performance, corporate sustainability performance considered an area that can be significantly improved. This study aims measure causal interrelationships among hierarchical attributes, as well decisive attributes force successful sus...

This article presents a hierarchical process for multiobjective portfolio selection in fuzzy environment. Methodology proposed in this paper is consist of three main steps; (a) determining weight of each objective including return, risk and liquidity, by fuzzy logarithmic least square according to investors’ preferences matrix by the means of DE algorithm, (b&c) assigning pareto frontiers of pr...

Abstract— Clustering is a powerful technique of data mining for extracting useful information from a set of data and classifies the data into several clusters based on similarity of the pattern. This paper presents the quality estimation for students’ projects data based on hierarchical clustering and fuzzy clustering using Min-Max method. From the experimental results it is seen the fuzzy clus...

In this chapter a new method of hierarchical genetic algorithm for fuzzy inference systems optimization is proposed. This method was used in two applications, the first was to perform the combination of responses of modular neural networks for human recognition based on face, iris, ear and voice, and the second one for fuzzy control of temperature in the shower benchmark problem. The results ob...

In this article the issue of data based modeling is dealt with the help a network of uniform multivariate fuzzy classifiers. Within this framework the innovation consists in the specification of a hierarchical design strategy for such a network. Concretely, the two network specifying factors, namely the layout of the network structure and the classifier nodes configuration, will be addressed by...

The main goal of this paper is to construct three sets of road safety performance indicators, which are regional road safety performance indicators, urban road safety performance indicators and highway safety performance indicators, respectively. Fuzzy Delphi Method and Grey Delphi Method are applied to quantify experts’ attitudes to regional road safety, urban road safety and highway safety. C...

An automatic design method for fuzzy controllers with a hierarchical prioritized structure is proposed. A messy genetic algorithm is used to learn di erent types of behaviour which are represented by a hierarchical set of fuzzy rules. We demonstrate that messy genetic algorithms are well suited to the task of learning because they allow a exible representation of the hierarchical prioritized st...

This study seeks to identify a set of key indicators along with weightings for tourist attractions in Taiwan, and develop a quality management self-evaluation mechanism for tourism businesses, using an advanced integrated Analytic Hierarchy Process and Delphi (AHP-Delphi) approach derived from the supply side perspective. This research study comprises two phases: (1) Delphi method analysis that...