[HTML][HTML] Design of a hybrid NAR-RBFs neural network for nonlinear dusty plasma system

AH Bukhari, M Sulaiman, MAZ Raja, S Islam… - Alexandria Engineering …, 2020 - Elsevier
Robust modeling of a multimodal dynamic system is a challenging and fast-growing area of
research. In this study, an integrated bi-modal computing paradigm based on Nonlinear …

A multi-objective optimization approach for sustainable and personalized trip planning: A self-adaptive evolutionary algorithm with case study

SZ Aliahmadi, A Jabbarzadeh, LA Hof - Expert Systems with Applications, 2025 - Elsevier
In the modern tourism landscape, the fusion of sustainability and personalized travel plans
marks a significant paradigm shift. This paper presents a novel multi-objective optimization …

Solution of linear and quadratic equations based on triangular linear diophantine fuzzy numbers

N Khan, N Yaqoob, M Shams… - Journal of function …, 2021 - Wiley Online Library
This paper is introducing a new concept of triangular linear Diophantine fuzzy numbers
(TLDFNs) in a generic way. We first introduce the concept of TLDFNs and then study the …

Applications of fuzzy logic, artificial neural network and neuro-fuzzy in industrial engineering

R Jafari, MA Contreras, W Yu, A Gegov - Industrial and Robotic Systems …, 2020 - Springer
Artificial intelligence methods namely artificial neural network, fuzzy logic, and neuro-fuzzy
have been effectively utilized in different applications like business, marketing, control …

[HTML][HTML] Multi-objective fuzzy tourist trip design problem with heterogeneous preferences and sustainable itineraries

J Ruiz-Meza, J Brito, JR Montoya-Torres - Sustainability, 2021 - mdpi.com
Tourism has direct and indirect implications for CO 2 emissions. Therefore, it is necessary to
develop tourism management based on sustainable tourism, mainly in the transport process …

A novel technique for solving fully fuzzy nonlinear systems based on neural networks

R Jafari, S Razvarz, A Gegov - Vietnam Journal of Computer …, 2020 - World Scientific
Predicting the solutions of complex systems is a crucial challenge. Complexity exists
because of the uncertainty as well as nonlinearity. The nonlinearity in complex systems …

Granular computing: An augmented scheme of degranulation through a modified partition matrix

K Xu, W Pedrycz, Z Li - Fuzzy Sets and Systems, 2022 - Elsevier
As an important technology in artificial intelligence, Granular Computing has emerged as a
new multi-disciplinary paradigm and received much attention in recent years. Information …

[책][B] Flow modelling and control in pipeline systems: a formal systematic approach

S Razvarz, R Jafari, A Gegov - 2020 - books.google.com
This book introduces novel methods for leak and blockage detection in pipelines. The leak
happens as a result of ageing pipelines or extreme pressure forced by operational error or …

Flow modelling and control in pipeline systems

S Razvarz, R Jafari, A Gegov - Stud. Syst. Decis. Control, 2021 - Springer
A pipeline system as one of the effective tools for transporting fluids despite the cost of
proper maintenance, has been taken to be a complex system accompanied by several kinds …

The solution techniques for linear and quadratic equations with coefficients as Cauchy neutrosphic numbers

M Rahaman, SP Mondal, B Chatterjee, S Alam - Granular computing, 2021 - Springer
Finding the roots of equations is an ancient art of mathematics. To deal with the physical
phenomena with vague information, the relations and equalities have to be expressed in …