В статье рассматриваются возможности использования механизма нечеткой логики при оценке рисков, возникающих при реализации инновационных проектов, в...

This paper develops a decision support method that integrates measures of achievement in the economic, environmental, and social aspects of farming. The decision support method combines multiple attribute decision making (MADM) with fuzzy logic. The fuzzy MADM model fully ranks decision...

Yield prediction is a very important task to a semiconductor manufacturing factory. However, it is difficult because yield improvement is a learning process, and the uncertainty and variation inherent in the learning process are not easy to consider. In addition, the competition in the...

Today, Fuzzy sets and fuzzy logic are used in many applications areas such as control, instrumentation, resource management, and databases just to name a few. In this paper, the authors present an extension of fuzzy aggregate functions in the context of fuzzy databases. The paper is not intended...

International plant location decisions have acquired relevance in a globalised economy and evidence suggests that the overall production and logistics environment of a country would have a bearing on foreign direct investment (FDI). This study attempts to analyse the impact of the production and...

This article presents how genetic algorithm (GA) can be efficiently used to fuzzy goal programming (FGP) formulation of quadratic bilevel programming problems (QBLPPs) in a hierarchical decision system. In the proposed approach, the concept of tolerance membership functions in fuzzy sets for...

In this paper we consider the use of fuzzy modelling in the context of econometric analysis of both time-series and cross-section data. We discuss and demonstrate a semi-parametric methodology for model identification and estimation that is based on the Fuzzy c-Means algorithm that is widely...

The availability of data for the size of the "Underground Economy" is important for macroeconomic policy. We use fuzzy set theory and fuzzy logic to construct an annual time-series for the (unobservable) New Zealand underground economy over the period 1968 to 1994. Two input variables are used -...

This paper examines the role of the interest rate in investment decisions for firms in Taiwan. To reflect the human side of decision making and the uncertain nature of information provided, we employ fuzzy set theory and fuzzy logic to examine the nonlinear relationship between these two...

This paper presents new concepts and methodological tools to decide the investments that electric distribution utilities must perform under regulatory frameworks based on performance (Performance Based Regulation or PBR). The proposal is focused on short-term investments. In this work, the...