N-gram and repeating pattern based prediction rules have been used for next-web request prediction. However, there is no rigorous study of how to select the best rule for a given observation. The longer patter may not be the best pattern, because such patters are also more rare. In this paper, we propose several rule-pruning methods that enable us to build efficient, compact and high-quality cl...

In this communication, we study decision influence diagrams using fuzzy sets and fuzzy random variables t,o model problems in which assessing real-valued ~t i l i t~ies , and employing real-valued random variables t o model random magnit,udes, are considered to be too restrictive. We propose conditions allowing us to solve decision influence diagrams when uncertainty magnitudes are formalized b...

The problem of evaluation of intellectual capital has attracted considerable attention. It involves many factors, such as peoples’ utility, the market value and the potential profits etc. Using the traditional accounting methods is difficult to estimate an appropriate result. In this paper we propose an integrated fuzzy evaluation procedure to measure the intellectual capital. The main methods ...

Molodtsov initiated soft set theory that provided a general mathematicalframework for handling with uncertainties in which we encounter the data by affix parameterized factor during the information analysis as differentiated to fuzzy as well as bipolar fuzzy set theory.The main object of this paper is to lay a foundation for providing a new application of bipolar fuzzy soft tool in ...

The purpose of this paper is to study a fuzzy multipurpose decision making problem, where the information about the alternatives provided by the experts can be of a diverse nature. The information can be represented by means of preference orderings, utility functions and fuzzy preference relations, and our objective is to establish general models which cover all possible representations. Firstl...

The Pridneprovsky Chemical Plant was one of the largest uranium processing enterprises in the former USSR, producing a huge amount of uranium residues. The Zapadnoe tailings site contains most of these residues. We propose a theoretical framework based on multicriteria decision analysis and fuzzy logic to analyze different remediation alternatives for the Zapadnoe tailings, which simultaneously...

Electric utilities face many uncertainties in their daily scheduling and inter-utility transaction operations. The effects of these uncertainties can propagate through the time horizon, significantly affecting the economics of schedules and transactions. With deregulation in the utility industry and increasing competition in the electricity market, these uncertainties should be properly managed...

This paper proposes a method of maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic systems. The system is composed of a boost converter and a single-phase inverter connected to a utility grid. The maximum power point tracking control is based on adaptive fuzzy logic to control a switch of a boost converter. Adaptive fuzzy logic controllers provide at...

The integration of association rules and correlation rules with fuzzy logic can produce more abstract and flexible patterns for many real life problems, since many quantitative features in real world, especially surveying the frequency of plant association in any region is fuzzy in nature. This paper presents a modification of a previously reported algorithm for mining fuzzy association and cor...