Search Results - subject:"Fuzzy Inference"

Classifying the malware application in the Android-based smart phones using ensemble-ANFIS algorithm

Vignesh, B. P. Sreejith; Babu, M. Rajesh - In: International journal of networking and virtual … 19 (2018) 2/3/4, pp. 257-269

Persistent link: https://www.econbiz.de/10011981158

An approach for justification of success 5S program in manufacturing organisations using fuzzy-based simulation model

Randhawa, Jugraj Singh; Ahuja, Inderpreet Singh - In: International journal of productivity and quality … 25 (2018) 3, pp. 331-348

Persistent link: https://www.econbiz.de/10011985754

Modeling of Turbine Cycles Using a Neuro-Fuzzy Based Approach to Predict Turbine-Generator Output for Nuclear Power Plants

Chan, Yea-Kuang; Gu, Jyh-Cherng - In: Energies 5 (2012) 1, pp. 101-118

). This paper deals with the modeling of turbine cycles to predict turbine-generator output using an adaptive neuro-fuzzy … inference system (ANFIS) for Unit 1 of the Kuosheng NPP in Taiwan. Plant operation data obtained from Kuosheng NPP between 2006 …

Persistent link: https://www.econbiz.de/10011031440

Enhancement of Turbo-Generators Phase Backup Protection Using Adaptive Neuro Fuzzy Inference System

Abdel Aziz, Mohamed Salah El-Din Ahmed; Hassan, Mohamed … - In: International Journal of System Dynamics Applications … 6 (2017) 1, pp. 58-76

system fault and a sudden application of a large system load. These investigations are carried out using Adaptive Neuro Fuzzy … Inference System (ANFIS). The results of the investigations have shown that the ANFIS has a promising tool when applied for …

Persistent link: https://www.econbiz.de/10012047446

Modeling Trust Based Risk Management in Cloud Adoption using Fuzzy Inference System

Saini, Anil K.; Gupta, Shikha - In: International Journal of Technology Diffusion (IJTD) 8 (2017) 1, pp. 52-60

Cloud has revolutionized the entire landscape of IT usage, storage and maintenance. It has shifted the focus from owning physical IT infrastructure, facility and storage to the use of same in an abstract form with pay per use facility. This has led to economizing the entire IT infrastructure....

Persistent link: https://www.econbiz.de/10012048367

A mutated FastSLAM using soft computing

Havangi, Ramazan - In: Industrial Robot: An International Journal 44 (2017) 4, pp. 416-427

neuro-fuzzy unscented Kalman filter (ANFUKF) is used for the feature location’s estimation. In ANFUKF, a neuro-fuzzy … inference system (ANFIS) supervises the performance of the unscented Kalman filter (UKF) with the aim of reducing the mismatch …

Persistent link: https://www.econbiz.de/10014836002

Fuzzy inference system application for failure analyzing in automobile industry

Geramian, Arash; Mehregan, Mohammad Reza; Garousi … - In: International Journal of Quality & Reliability Management 34 (2017) 9, pp. 1493-1507

Purpose Nowadays, quality is one of the most important key success factors in the automobile industry. Improving the quality is based on optimizing the most important quality characteristics and usually launched by highly applied techniques such as failure mode and effect analysis (FMEA)....

Persistent link: https://www.econbiz.de/10014801599

Design an intelligent real-time operation planning system in distributed manufacturing network

Lv, Yaqiong; Lin, Danping - In: Industrial Management & Data Systems 117 (2017) 4, pp. 742-753

graphically and test the discrete events of concurrent operations. Fuzzy inference system can help for knowledge representation …

Persistent link: https://www.econbiz.de/10014825814

A fuzzy-based multi-stage quality control under the ISO 9001 : 2015 requirements

Savino, Matteo Mario; Brun, Alessandro; Xiang, Chen - In: European journal of industrial engineering : EJIE 11 (2017) 1, pp. 78-100

Persistent link: https://www.econbiz.de/10011691543

Designing a fuzzy approach for modelling the performance evaluation of education service providers

Das, Prasun; Mukherjee, Srabanti - In: International journal of services and operations management 26 (2017) 1, pp. 49-67

Persistent link: https://www.econbiz.de/10011719217