The evaluation of quality of the railway passenger service is an important way to know the quality of the railway passenger service. This paper firstly constructs an evaluation indicator system of the quality of the railway passenger service on the foundation of the related literatures, and constructs the multiple-attribute evaluation matrix and indicator weight vector based on the linguistic v...

Based on fuzzy set theory, this paper proposes a novel weighting method for spatial adaptive patch-based image denoising algorithm which can be considered as an extension of nonlocal means filtering. First, a fuzzy clustering algorithm for weighting data points is applied to reduce the estimate bias which arises from the unrelated points. The weighting function is determined by optimal fuzzy pa...

A risk-minimizing portfolio model under uncertainty with randomness and fuzziness is discussed. By a perception-based extension of estimations for fuzzy random variables, the risk-minimizing portfolio problem is developed. In the uncertainty model, the randomness and fuzziness are evaluated respectively by the probabilistic expectation and mean values with evaluation weights and -mean functions...

Biological taxonomy is at the heart of species identifications. Such identifications are instrumental in biodiversity studies, ecological assessment, and phylogenetic analysis, among other studies. Fuzzy measures and classification integration was used to analyze shape groups of the diatom Asterionella using fuzzy Fourier shape coefficients and fuzzy morphometric measures. Based on this analysi...

Combining rough sets and fuzzy soft sets, we propose an algorithm to obtain the optimal decision program. In this algorithm, firstly, according to fuzzy soft sets, we build up information systems; secondly, we compute the significance of each parameter according to rough set theory; thirdly, combining subjective bias, we give an algorithm to obtain the comprehensive weight of each parameter; at...

Fuzzy Analysis of Statistical Evidence (FASE) is utilizing the fuzzy set and the statistical theory for solving problems of pattern recognition and/or classification. Several features of FASE are similar to the human judgment. It can evaluate the weight of statistical evidence (information); it can update inference with new information; and it can incorporate missing data. Furthermore, since it...

In this paper, we develop a new approach to deal with neutrosphic shortest path problem in a network in which each edge weight (or length) is represented as triangular fuzzy neutrosophic number. The proposed algorithm also gives the shortest path length from source node to destination node using ranking function. Finally, an illustrative example is also included to demonstrate our proposed appr...

Hardware realization of adaptive fuzzy systems is discussed in this paper. A highly-parallel architecture based on an active-rule driven scheme is considered so that only the parameters associated with the active rules take part in the inference and learning phases. Mixed-signal circuits are used to implement a gradient-descent algorithm for tuning consequents’ values and a weight perturbation ...

In this paper a novel Optimal Type-2 Fuzzy Proportional-Integral-Derivative Controller (OT2FPIDC) is designed for controlling the air supply pressure of Heating, Ventilation and Air-Conditioning (HVAC) system. The parameters of input and output membership functions, and PID controller coefficients are optimized simultaneously by random inertia weight Particle Swarm Optimization (RNW-PSO). Simul...

This paper introduces Fuzzy ARTRON as a general-purpose classifier that can do high-quality classification in continuous, discrete, linear, or nonlinear domains. The topology of Fuzzy ARTRON contains a fuzzy ART network, on which a perceptron layer is superimposed. The learning algorithms involve unsupervised ART learning and supervised error back-propagation learning. The former is used to aut...