Computational Intelligence for Engineering and Management Applications

An Integrated Approach for Robot Selection under Utopia Environment.- A Novel Soft Computing Technique for Hydroxyapatite Coatings Selection for Orthopedic Prosthesis.- Remote Production Monitoring System.- Application of Wavelet Neural Network for Electric Field Estimation.- Development of an industrial control virtual reality module for the application of electrical switchgear in practical applications.- Coordination of Wind Turbines and Battery Energy Storage Systems in Micro Grid.- Weather-aware selection of wireless technologies for neighborhood area network of Indian smart grid.- Intelligent System for Diagnosis of Pulmonary Tuberculosis Using Ensemble Method.- Alcoholic addiction detection based on EEG signals using Deep convolutional neural network.- Application of machine learning algorithms for cataract detection.

Dr. Prasenjit Chatterjee is currently a Professor of Mechanical Engineering and Dean (Research and Consultancy) at MCKV Institute of Engineering, West Bengal, India. He has over 5400 citations with an h-index of 38 and 120 research papers in various international journals and peer reviewed conferences. He has authored and edited more than 30 books on intelligent decision-making, fuzzy computing, supply chain management, optimization techniques, risk management and sustainability modelling. He is the Editor-in-Chief of Journal of Decision Analytics and Intelligent Computing. He has also been the Guest Editor of several special issues in different SCIE / Scopus / ESCI (Clarivate Analytics) indexed journals. Dr. Chatterjee is one of the developers of two multiple-criteria decision-making methods called Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) and Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval (RAFSI).
Dragan Pamucar is an Associate Professor at the University of Belgrade, Faculty of Organizational Sciences, Department of Operations Research and Statistics, Serbia. He received a Ph.D. in Applied Mathematics with a specialization in multi-criteria modeling and soft computing techniques, from the University of Defence in Belgrade, Serbia, in 2013 and a M.Sc. degree from the Faculty of Transport and Traffic Engineering in Belgrade in 2009. His research interest areas are computational intelligence, multi-criteria decision-making problems, neuro-fuzzy systems, fuzzy, rough, and intuitionistic fuzzy set theory, neutrosophic theory. He has authored/co-authored over 70 papers published in SCI-indexed international journals including experts' systems with applications, computational intelligence, computers, and industrial engineering technical gazette, sustainability, symmetry, water, etc. Morteza Yazdani currently works at theUniversidad Internacional de Valencia, Madrid.