In this paper, an automatic histogram threshold approach based on a fuzzy measure is presented. This work is an improvement of an existing method. Using fuzzy logic concepts, the problems involved in finding the minimum/maximum of a entropy criterion function are avoided. Hamid R Tizhoosh defined a membership function to measure the image fuzziness, which makes the methodology totally supervise...

State minimization is a fundamental problem in automata theory. The problem is also of great importance in the study of fuzzy automata. However, most work in the literature considered only state reduction of fuzzy automata, whereas the state minimization problem is almost untouched for fuzzy automata. Thus in this paper we focus on the latter problem. Formally, the decision version of the minim...

Most real world databases are constituted from historical and numerical data such as sensors, scientific or even demographic data. In this context, algorithms extracting sequential patterns, which are well adapted to the temporal aspect of the data, do not allow processing numerical information. Therefore the data are pre-processed to be transformed into a binary representation which leads to a...

Present paper derives fuzzy economic models to evaluate the economic feasibility of information security investment. The Net Present Value (NPV), and discounted Return on Investment (dRoI) models are proposed for the execution of costbenefit analysis. Since fuzzy results are in the form of a complex nonlinear representation, and do not always provide a totally ordered set in the same way that c...

Fuzzy soft graphs are effective mathematical tools that used to model the vagueness of real world. A fuzzy graph is a fusion set and widely across different fields. In this current research, concept picture presented by combining theory sets with graphs. The introduction new an emerging can be rather developed into various theoretical concepts. Since most usable in real-life applications, newly...

in different projects the speed of different machinery can be estimated using manufacturer's handbooks and a number of modification factors to consider the environmental effects, type of the project and status of site management. since the statuses of different factors of the domestic projects are totally different from those of the international projects, there is a wide discrepancy betwe...

This paper describes a simple (yet powerful) methodology for decision making based on fuzzy sets. In an example to demonstrate the methodology we show how to determine a preferential grain crop for given conditions and grower circumstances. The paper proposes a multi-level fuzzy evaluation function 4, 6] which will totally order a number of crop alternatives. The model can be used to consider v...

Uncertainty management for geometric data is currently an important problem in spatial databases, image databases, and Geographic Information Systems (GIS). Spatial entities do not always have homogeneous interiors and sharply defined boundaries but frequently their interiors and boundaries are partially or totally indeterminate and vague. For an important kind of spatial vagueness called spati...

Uncertainty management for geometric data is currently an important problem in spatial databases, image databases, and GIS. Spatial objects do not always have homogeneous interiors and sharply defined boundaries but frequently their interiors and boundaries are partially or totally indeterminate and vague. For an important kind of spatial vagueness called fuzziness this paper provides a concept...