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Subjects / keywords: Technology: Engineering (General). Civil engineering (General); Science: Mathematics

Subjects / keywords: fuzzy information, soft computing, fuzzy engineering, fuzzy operations research, artificial intelligence, fuzzy sets and systems; Technology: Engineering (General). Civil engineering (General); Science: Mathematics

Mobility-as-a-Service (MaaS) orchestration faces critical challenges in managing the Service Quality Index (SQI), Fleet Utilization Ratio (FUR), and Dynamic Pricing Index (DPI) under uncertain and time-varying urban dema...

Anaerobic co-digestion of livestock waste presents a viable approach for addressing environmental challenges and reducing greenhouse gas emissions in semi-urban and rural contexts. This study focuses on the development o...

The article talks about the increasing importance of the practical use of fuzzy differential equations in modeling complex problems in various fields, such as science and engineering, as these differential equations allo...

Abstract Electric load simulator (ELS) systems are employed for electric power steering (EPS) test benches to load rack force by precise control. Precise ELS control is strongly influenced by nonlinear factors. When the ...

When stakeholders are geographically distributed communication presents new challenges for software engineering community. In order to improve communication between stakeholders, we have previously proposed to apply lear...

The knowledge imperfections should be considered when modeling complex problems. A solution is to develop a model that reduces the complexity and another option is to represent the imperfections: uncertainty, vagueness a...

Self-optimizing mechatronic systems react autonomously and flexibly to changing conditions. They are capable of learning and optimize their behavior throughout their life cycle. The paradigm of self-optimization is origi...

Self-optimizing mechatronic systems react autonomously and flexibly to changing conditions. They are capable of learning and optimize their behavior throughout their life cycle. The paradigm of self-optimization is origi...

In this Ph. D thesis, the main significant contributions are: formulation of a new non-linear membership function using fuzzy approach to capture and describe vagueness in the technological coefficients of constraints in...

In this work we will study the problem of the design of the "Integration Model for Distributed Database System". We particularly design the canonical model through the ontological handling of the information. The ontolog...

Most component-based approaches to elaborate software require complete and consistent descriptions of components, but in practical settings components information is incomplete, imprecise and changing, and requirements m...

Previous article Next article Fractional Brownian Motions, Fractional Noises and ApplicationsBenoit B. Mandelbrot and John W. Van NessBenoit B. Mandelbrot and John W. Van Nesshttps://doi.org/10.1137/1010093PDFBibTexSecti...

In omplete information is a problem in many aspe ts of a tual environments. Further- more, in many s enarios the knowledge is not represented in a risp way. It is ommon to nd fuzzy on epts or problems with some level of...

A mathematical tool to build a fuzzy model of a system where fuzzy implications and reasoning are used is presented in this paper. The premise of an implication is the description of fuzzy subspace of inputs and its cons...

Subjects / keywords: Fuzzy logic; Controller (irrigation); Computer science; Heuristic; Set (abstract data type); Control (management); Operator (biology); Control engineering; Artificial intelligence; Engineering; Programming language; Bioc...

O artigo tem como proposta aplicar os conceitos de extração de dados para aumentar o conhecimento sobre o custo do processo produtivo de Empresas Virtuais. Esta abordagem usa técnicas de IA, especialmente lógica fuzz...

Subjects / keywords: fuzzy systems; Technology: Electrical engineering. Electronics. Nuclear engineering; Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software

Subjects / keywords: algebraic logic, boolean-valued fuzzy sets, fuzzy model theory, l-fuzzy sets, rough sets, states of fuzzy structures; Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics....

Subjects / keywords: particle swarm optimization, artificial neural networks, neuro-fuzzy systems, machine learning, data mining, genetic programming; Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Compute...