Search Results - subject:"fuzzy inference system"

An emotional learning-neuro-fuzzy inference approach for optimum training and forecasting of gas consumption estimation models with cognitive data

Azadeh, Mohammad Ali; Asadzadeh, Seyed Mohammad; … - In: Technological forecasting & social change : an … 91 (2015), pp. 47-63

Persistent link: https://www.econbiz.de/10011317278

An intelligent framework for performance optimisation of integrated management system and resilience engineering in pharmaceutical plants

Azadeh, Mohammad Ali; Nasirian, Bahareh; Haghighi, Sara … - In: Total quality management & business excellence 30 (2019) 9, pp. 953-989

Persistent link: https://www.econbiz.de/10012199801

Application of multi-grade fuzzy and ANFIS approaches for performance analysis of Lean Six Sigma system with sustainable considerations

Ruben, R. Ben; Vinodh S; Asokan, P. - In: International journal of services and operations management 33 (2019) 2, pp. 239-261

Persistent link: https://www.econbiz.de/10012106460

Fuzzy logic-based FMEA robust design : a quantitative approach for robustness against groupthink in group/team decision-making

Geramian, Arash; Abraham, Ajith; Nozari, Mojtaba Ahmadi - In: International journal of production research 57 (2019) 5, pp. 1331-1344

Persistent link: https://www.econbiz.de/10012183811

Fault Detection and Location by Static Switches in Microgrids Using Wavelet Transform and Adaptive Network-Based Fuzzy Inference System

Hong, Ying-Yi; Wei, Yan-Hung; Chang, Yung-Ruei; Lee, Yih-Der - In: Energies 7 (2014) 4, pp. 2658-2675

transform (DWT) and adaptive network-based fuzzy inference system (ANFIS). The wavelet coefficient of the fault voltage and the …

Persistent link: https://www.econbiz.de/10010762612

The application of fuzzy Delphi and fuzzy inference system in supplier ranking and selection

Tahriri, Farzad; Mousavi, Maryam; Haghighi, Siamak Hozhabri - In: Journal of Industrial Engineering International 10 (2014), pp. 1-16

's assessment, an integration of fuzzy Delphi with fuzzy inference system has been applied and a new ranking method is proposed for …

Persistent link: https://www.econbiz.de/10011640814

АЛГОРИТМ ПОДДЕРЖКИ ПРИНЯТИЯ РЕШЕНИЙ ПО УСТРАНЕНИЮ ПОЖАРООПАСНЫХ СИТУАЦИЙ НА ПРОМЫШЛЕННЫХ ПРЕДПРИЯТИЯХ

ВЛАДИМИРОВИЧ, ТУПИКОВ ДМИТРИЙ; … - In: Управление большими … (2014) 3, pp. 148-163

Предлагается алгоритм поддержки принятия решений по устранению пожароопасных ситуаций на промышленных предприятиях. Данный алгоритм включает в себя...

Persistent link: https://www.econbiz.de/10011270586

The application of fuzzy Delphi and fuzzy inference system in supplier ranking and selection

Tahriri, Farzad; Mousavi, Maryam; Haghighi, Siamak Hozhabri - In: Journal of industrial engineering international 10 (2014), pp. 1-16

’s assessment, an integration of fuzzy Delphi with fuzzy inference system has been applied and a new ranking method is proposed for …

Persistent link: https://www.econbiz.de/10011556556

Designing of a New Intuitionistic Fuzzy Based Diabetic Diagnostic System

Raheja, Supriya; Jain, Vaishali - In: International Journal of Fuzzy System Applications (IJFSA) 7 (2018) 1, pp. 32-45

In this article, fuzzy set theory and other generalized theories are described as having extended the concept of classical set theory to uncertain problems. Fuzzy set theory plays a pivot role in the field of medical sciences to handle the vagueness and impreciseness of the data but no one has...

Persistent link: https://www.econbiz.de/10012044845

Intravenous Drug Delivery System for Blood Pressure Patient Based on Adaptive Parameter Estimation

Singh, Bharat; Urooj, Shabana - In: International Journal of Natural Computing Research (IJNCR) 7 (2018) 3, pp. 42-53

Controlled drug delivery systems (DDS's) is an electromechanical system that supports the injection of a therapeutic drug intravenously into a patient's body and easily controls the infusion rate of patient's drug, blood pressure, and time of drug release. The controlled operation of mean...

Persistent link: https://www.econbiz.de/10012046734