In this paper, we propose a novel Takagi-SugenoKang type interval-valued neural fuzzy system with asymmetric fuzzy membership functions (called TIVNFS-A). In addition, the corresponding type reduction procedure is integrated in the adaptive network layers to reduce the amount of computation in the system. Based on the Lyapunov stability theorem, the TIVNFS-A system is trained by the back-propag...

The success of any endeavor or process is heavily contingent on the ability to reconcile and satisfy balance requirements, which are often characterized by symmetry considerations. In practical applications, primary goal decision-making processes efficiently manage asymmetry that exists within different sources information. order address this challenge, aim study introduce novel Dombi operation...

A new complex neuro-fuzzy self-learning approach to the problem of function approximation is proposed, where complex fuzzy sets are used to design a complex neuro-fuzzy system as the function approximator. Particle swarm optimization (PSO) algorithm and recursive least square estimator (RLSE) algorithm are used in hybrid way to adjust the free parameters of the proposed complex neuro-fuzzy syst...

The aim of this paper was to explore decision-making using Pythagorean fuzzy sets with an acronym in Portuguese for Interactive multi-criteria decision making (TODIM) approach. We propose a novel model that TODIM integrates the technique order preference by similarity ideal solution (TOPSIS) and concepts solve problems related core alternatives facing innovative companies under bullwhip effect ...

Abstract Waste management involved in various fields of global ecosystem that provides several positive effects for green environment and sustainable development. We devise a multi-objective solid transportation model waste problem agriculture field forest department urban or rural Starting to end point the covered by considering objective functions as cost, job opportunity carbon emission. Car...