We study the problem of finding multimodal journeys in transportation networks, including unrestricted walking, driving, cycling, and schedule-based public transportation. A natural solution to this problem is to use multicriteria search, but it tends to be slow and to produce too many journeys, several of which are of little value. We propose algorithms to compute a full Pareto set and then sc...

In this paper an efficient classification system in the area of earthquake engineering is reported. The proposed method uses a set of artificial accelerograms to examine several types of damages in specific structures. With the use of seismic accelerograms, a set of twenty seismic parameters have been extracted to describe earthquakes. Previous studies based on artificial neural networks and ne...

It has been shown recently that higher order Fuzzy Logic Controllers (FLCs) such as type2 FLCs have the potential to outperform type1 FLCs. However, the high computational cost associated with such higher order FLCs is still impeding their widespread use in real world applications where the computational and memory resources are limited. In this paper we will present a simple framework that all...

This paper presents the exploitation of the concept of fuzzy–subsethood for defining a new class of color image processing operations. By considering a color value as a fuzzy set, the calculus of fuzzy-subsethood becomes applicable to color images. From this, a simple color threshold operation can be defined, which gives a grayvalue image from the degrees of subsethood. Also, mathematical morph...

Crop area statistics and yield prediction will affect adjustment of agricultural policy, to a certain extent. With the development of computer automatic classification techniques, the performance of classifiers are influenced by feature preprocessing and sample selection. Remote sensing classification according to spectral information is affected by false negatives and miscalculation in the com...

This paper describes a technique that can be used to generate fuzzy rules to extract the features of handwritten characters. The feature extraction is a complicated problem as different people write the same character in different ways. The development of a technique that can generate the description of handwritten characters is still a challenge for the handwritten recognition systems. The fuz...

Currently, the research towards spectrum management has been increased inorder to avoid the scarcity of the spectrum and to improve the utilization of the spectrum which shows that researchers concentration towards spectrum utilization also get increased. This paper provides how ways of spectrum utilization and implementation varies from researchers to researchers. The main objective of the pap...

Majorities based on difference of votes and their extension, majorities based on difference in support, were introduced in social choice voting as tools to implement the crisp preference values (votes) and the intensities of preference provided by voters when comparing pairs of alternatives, respectively, with the aim to declare which alternative is socially preferred. Moreover, these rules req...

The performance assessment of supply chains including sustainability dimensions of economic, environmental and social is a significant aspect for managers and decision makers. Furthermore, imprecise data are presented in many real world applications. Therefore, the current paper proposes an approach based on data envelopment analysis (DEA) to analyze the revenue efficiency of sustainable supply...

In this study, both optimistic and pessimistic approaches of data envelopment analysis are applied to propose an equitable ranking method in fuzzy environments. To this end, we suppose that the sum of efficiency scores of all decision making units (DMUs) equals to unity. Using the worst-best and best-worst approaches, the minimum and maximum possible efficiency scores of each DMU are estimated ...