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Selection of contractors is the process of hiring the most appropriate contractor to deliver the project within specific time, with good quality, and at low cost. Selection based on a set of qualification criteria has become essential to the success of construction projects and it outperforms the traditional lowest cost selection method. A common problem however is the compatibility of the selected...
Human population growth and increased industrial activity in recent decades have contributed to a range of environmental problems, including the contamination of groundwater and surface water. In order to help in the management of these resources, water quality indices are used as tools to summarize multiple parameters and express them in the form of a single number. The ability to provide both an...
The elements of the truth value algebra of type-2 fuzzy sets are all mappings of the unit interval into itself, with operations given by various convolutions of the pointwise operations. This algebra can be specialized and generalized in various interesting ways. Here we replace each copy of the unit interval by a finite chain, and define operations analogously. Among these are two binary operations...
Defining a proper measure of proximity (or remoteness) between two groups of objects is of crucial importance in applied research. Much attention has been paid to consideration of continuous-valued attributes while nominal-valued attributes seems to be more difficult to handle. In this paper we defined non empty groups of objects, and each group is described as K-tuple sets of attributes values. Next,...
Principal curves, as a nonlinear generalization of principal components, are a common tool used in multivariate analysis for ends like dimensionality reduction and feature extraction. However, one of the difficulties that arise when utilizing this technique is that efficiency of existing principal curves algorithms is often low when dealing with large data set owing to high computational complexity...
This paper investigates the problem of solving sup-conjunctor composite finite interval-valued fuzzy relational equations over complete Brouwerian lattices. First, we introduce the notions of tolerable solution set, united solution set and controllable solution set, respectively and discuss their properties. Secondly, we obtain some necessary and sufficient conditions that these solution sets are...
We develop a method to construct a fuzzy rule-based classifier which makes use of the pattern trees and Axiomatic Fuzzy Set (AFS) theory. The AFS framework supports a way on how to convert the information present in databases into the membership functions and their fuzzy logic operations. A selection index used for quantifying the discriminatory capabilities of the fuzzy concept was proposed. Being...
Based on the area between the curve of the membership function and the horizontal real axis, concepts of left and right wingspans are introduced. By them, a new index, called the w-center for fuzzy numbers is proposed. It is continuous with respect to the convergence of fuzzy number sequence. An intuitive and reasonable ranking method for fuzzy numbers based on their w-center is also established....
Fuzzy clustering has been one of the commonly used vehicles to construct information granules (whose description is provided in terms of prototypes and partition matrices). The quality of resulting information granules can be assessed by quantifying how well the original numeric data from which information granules have been constructed can be represented (granulated) by information granules and subsequently...
In the world stage, the environmental condition has been a big public policies issue. A clear understanding of the parameters that determine the state of the environment is essential for estimation of the quality of life of the population, not least since ecosystems are highly complex. Consequently, definition of public policies demands the use of evaluation tools that can combine and quantify information...
Images and visual understandings are basis in everyday life and are very important tool for decision making. However, for improving the image appearance to a human viewer, or to convert an image to a format better suited to machine processing, enhancing methods should be used. There are wide varieties of techniques for this purpose including, contrast and histogram modification, de-noising, statistical...
This paper explores the possibility of an application based on a fuzzy estimator characterized by an accelerometer signal, to recognize simple movements. The sensor used is a tri-axial accelerometer located at the hip of the subject, with one of its axis perpendicular to the ground, and the signal from each axis will be used to train the estimator, meaning that each axis that's being sample will generate...
Participatory evolution is a learning paradigm recently introduced in the realm of fuzzy system modeling and system optimization. The paradigm benefits from the concept of participatory learning, genetic algorithms and differential evolution. In this paper we address two distinct participatory evolutionary learning algorithms. The first combines participatory learning and the processing steps of differential...
In this paper, a class of new aggregation operators, called the consistent induced matrix (CIM) operators, are proposed, which generalize the well-known weighted mean (WM), weighted ordered averaging (OWA), and induced OWA (IOWA) operators. This class of operators preserve the consistency between the arguments and the weights of the arguments. Based on this class of operators a novel approach to fuzzy...
This paper presents the development of two of the eight indicators to evaluate the Country Wellbeing. We start from the Stiglitz document (2009) that for the first time puts a fixed point on what are the indicators that, aggregated, produces a multidimensional description of wellbeing that goes beyond GDP. Following the document indications, we present a fuzzy approach for this measure as a proposal...
We present some problems and solutions for situations when compound and semantically rich nature of data records, such as scientific articles, creates challenges typical for big data processing. Using a case study of named entity matching in SONCA system we show how big data problems emerge and how they are solved by bringing together methods from database management and computational intelligence.
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