A key point in value engineering (VE) methodology is to acquire and apply knowledge of the assorted fields. An appropriate definition of VE expert knowledge flow could, therefore, yield more productive VE workshops. A conceptual expert case-based reasoning (CBR) framework is introduced in this...

Search tactics are cognitive processes, or decision mechanisms, that organisms use to locate available resources such as food, mates, refugia, and high-quality habitats. However, our knowledge of the actual tactics that animals use while searching for resources is limited, and very little...

This article proposes the use of a fuzzy time series model based on neural networks that are intended to calculate the complicated fuzzy relationships among observations. The Taiwan stock exchange capitalisation weighted stock index is used as the forecasting target. Various parameters such as...

The goal of this article is to present an architecture of a system that tries toprepare the students from specialization Computer science in Economy for the labormarket, through a integrated, interactive and intelligent system, gained through a proactivecollaboration between the university and...

Fuzzy rule-based models, a key element in soft computing (SC), have arisen as an alternative for time series analysis and modeling. One difference with preexisting models is their interpretability in terms of human language. Their interactions with other components have also contributed to a...

With the availability of powerful and low cost computing power, maximum power point tracking (MPPT) that utilizes soft computing (SC) techniques are attracting substantial interests from the PV communities. Due to their flexibility and ability to handle non-linear problems, robust SC-based MPPT...

Soft computing models play an important role in the field of recognition, classification, data prediction, etc., and also in various application fields towards decision-making. Soft computing models include fuzzy logic, neural, network, genetic algorithm, particle swarm optimisation, tabu...

Genome data mining and knowledge extraction is an important problem in bioinformatics. Some research work has been done for genome identification based on exact matching of n-grams. However, in most real world biological problems, it may not be feasible to have an exact match, so approximate...

Hydrologic processes are complex, non-linear, and distributed within a watershed both spatially and temporally. One such complex pervasive process is soil erosion. This problem is usually approached directly by considering the sediment yield. Most of the hydrologic models developed and used...

The erosional processes depend on various variables such as lithology, topography,drainage system, rock structure and climatic conditions. The quantitative evaluationof some of the above geological and geomorphological parameters is of primaryimportance for the purpose of developing erosion risk...