In this study, landslide susceptibility mapping using a completely expert opinion-based approach was applied for the Sinop (northern Turkey) region and its close vicinity. For this purpose, an easy-to-use program, ‘‘MamLand,’’ was developed for the construction of a Mamdani fuzzy inference system and employed in MATLAB. Using this newly developed program, it is possible to construct a landslide...

One of the fundamental problems in wireless sensor networks (WSNs) is localization that forms the basis for many location aware applications. Localization in WSNs is to determine the physical position of sensor node based on the known positions of several nodes. In this paper, a range free, enhanced weighted centroid localization method using edge weights of adjacent nodes is proposed. In the p...

In this paper, we use a method based on a multi-objective genetic algorithm, namely the Pareto Archived Evolutionary Strategy (PAES), to generate a set of Mamdani fuzzy systems from numerical data. PAES determines an approximation of the optimal Pareto front by concurrently maximizing the accuracy and minimizing the complexity. Unlike other approaches, we measure the complexity as sum of the va...

In this paper we present a new approach for reliable fall detection. The fuzzy system consists of two input Mamdani engines and a triggering alert Sugeno engine. The output of the first Mamdani engine is a fuzzy set, which assigns grades of membership to the possible values of dynamic transitions, whereas the output of the second one is another fuzzy set assigning membership grades to possible ...

in computational intelligence area, it is suitable to fulfill the analysis in order to interpret the concept and sources of uncertainty and the conditions of its incidence, and hence pursuit for reliable techniques of dealing with it. Dealing with uncertainties in this case is a challenging and multidisciplinary activity. So, there is a need for a capable tool for modeling, control, and analyti...

Protection is the most significant area of power system indeed. For single phase LT consumers, electromechanical B – Type MCB is available nowadays. Many significant workouts on various breakers have been found with excellent features like VCB, SF6 and so on. In the present paper a brief discussion is made on protection against over current scenario due to low fault impedance. The purpose of th...

An explainable artificial intelligence (XAI) agent is an autonomous that uses a fundamental XAI model at its core to perceive environment and suggests actions be performed. One of the significant challenges for these agents performing their operation efficiently, which governed by underlying inference optimization system. Along similar lines, Explainable Fuzzy AI Challenge (XFC 2022) competitio...

Thanks to their ability to model natural language, fuzzy rules are very popular in expert knowledge representation. Mamdani fuzzy systems are widely used for process simulation or control. Nevertheless, fuzzy implicative rules, and especially gradual rules, provide another kind of knowledge representation, which can be very useful in approximate reasoning. In this paper, the two types of rules ...

There is the specific situation in secondary schools regarding students' understanding of the importance of acquired knowledge which they need for the continuation of their education. Therefore, nowadays it is necessary to introduce innovative forms of knowledge acquiring such as blended learning. The intention is to build an adequate model using Mamdani Fuzzy Logic in terms of better motivatio...

In this paper, we derive new neuro-fuzzy structures called flexible neuro-fuzzy inference systems or FLEXNFIS. Based on the input-output data, we learn not only the parameters of the membership functions but also the type of the systems (Mamdani or logical). Moreover, we introduce: 1) softness to fuzzy implication operators, to aggregation of rules and to connectives of antecedents; 2) certaint...