AbstractIn general, expert rules expressed by imprecise (fuzzy) words of natural language like “small” lead to control recommendations. If we want design an automatic controller, need, based on these fuzzy recommendations, generate a single value. A procedure for such generation is known as defuzzification. The most widely used defuzzification centroid defuzzification, in which, the desired val...

We review some centroid-based algorithms derived from the basic c-Means. We survey both clustering and vector quantization. Fuzzy versions are also considered.

We extend the shape signature based on the distance of the boundary points from the shape centroid, to the case of fuzzy sets. The analysis of the transition from crisp to fuzzy shape descriptor is first given in the continuous case. This is followed by a study of the specific issues induced by the discrete representation of the objects in a computer. We analyze two methods for calculating the ...

Localization in Wireless Sensor Networks (WSNs) refers to the ability of determining the positions of sensor nodes, with an acceptable accuracy, based on known positions of several anchor nodes. Among the plethora of possible localization schemes, the Received Signal Strength (RSS) based range-free localization techniques have attracted significant research interest for their simplicity and low...

The Critical Path Method (CPM) is useful for planning and control of complex projects. The CPM identifies the critical activities in the critical path of an activity network. The successful implementation of CPM requires the availability of clear determined time duration for each activity. However, in practical situations this requirement is usually hard to fulfil since many of activities will ...

Encephalitis is a brain inflammation disease. can yield to seizures, motor disability, or some loss of vision hearing. Sometimes, encephalitis be life-threatening and proper diagnosis in an early stage very crucial. Therefore, this paper, we are proposing deep learning model for computerized detection from the electroencephalogram data (EEG). Also, propose Density-Based Clustering classify dist...

This study presents an approximate approach for ranking fuzzy numbers based on the centroid point of a fuzzy number and its area. The total approximate is determined by convex combining of fuzzy number’s relative and its area that based on decision maker’s optimistic perspectives. The proposed approach is simple in terms of computational efforts and is efficient in ranking a large quantity of f...

Abstract This paper suggests a fuzzy MCDM (multiple criteria decision-making) approach, where ratings of alternatives versus criteria and weights of criteria are assessed in fuzzy numbers or linguistic values represented by fuzzy numbers. Criteria are classified into cost and benefit ones. In the proposed method, the ratings assigned by decision makers to each alternative versus each criterion ...