for a long time, the concept of sustainability and unsustainability, the ways to assess them, and the factors involved in the process of various areas of scienc, especially the environmental ones. sustainability in rural areas as human settlements depends heavily on a series of factors including environmental and socio-economic factors. this paper aims at introducing fuzzy set theory and the ex...

This work develops a novel dynamic fuzzy logic system that, based on a fuzzy basis function expansion, successfully solves the non-linear problem of narrowband interference prediction and rejection in DS-SS. A fuzzy basis function representation provides a natural framework for combining both numerical and linguistic information in a uniform fashion. The result is a low complexity non-linear ad...

Abstract—Considering the features of magnetic resonance imaging (MRI), a segmentation method of MRI based on fuzzy Gaussian basis neural network (FGBNN) is proposed. In proposed method, the fuzzy inference is realized by neural network. Gaussian basis function is used as fuzzy membership function, and error backpropagation (BP) algorithm is used to train the neural network. The experimental res...

the present article discusses and presents a new and comprehensive approachaimed at measuring the maturity and quality of software processes. this method has beendesigned on the basis of the software capability maturity model (sw-cmm) and themulti-level fuzzy inference model and is used as a measurement and analysis tool. among themost important characteristics of this method one can mention si...

In this paper, as an application of fuzzy matroids, the fuzzifying greedy algorithm is proposed and an achievableexample is given. Basis axioms and circuit axioms of fuzzifying matroids, which are the semantic extension for thebasis axioms and circuit axioms of crisp matroids respectively, are presented. It is proved that a fuzzifying matroidis equivalent to a mapping which satisfies the basis ...

This present paper is an efficient solution to control the basis weight of paper in pulp and paper industry using a fuzzy logic controller. The traditional systems are based on operator’s experience and data provided by the mill. The decision of the operator is not exact but good enough or appropriate. Fuzzy Logic offers a promising solution to this conceptual design through fuzzy modeling. Fuz...

In this paper we investigate the algebraic properties of dimension of fuzzy hypervector spaces. Also, we prove that two isomorphic fuzzy hypervector spaces have the same dimension.

In this study, we introduce and study a concept of distributed fuzzymodeling. Fuzzy modeling encountered so far is predominantly of a centralizednature by being focused on the use of a single data set. In contrast to this style ofmodeling, the proposed paradigm of distributed and collaborative modeling isconcerned with distributed models which are constructed in a highly collaborativefashion. I...

In this paper a fuzzy method for determining appropriate structural design is presented. Non-stochastic uncertainty is quantified using fuzzy values and fuzzy random variables. Fuzzy structural parameters are processed on the basis of a generally applicable numerical method for arbitrary nonlinear fuzzy structural analyses. Fuzzy randomness is introduced into a fuzzy probabilistic safety assess...

This research suggests a new type of inte1,ligent system based on new approaches to generation and selection of family of fuzzy logics. It is based on new generalizedl strategy of designing of fuzzy intelligent systems. Family of fuzzy logics can be generated by T-norms axiomatic system to choose the logic, that is the most suitable to expert way of thinking. Then the selected fuzzy logic is te...