Multi-criteria assessment of climate change due to green house effect based on Sugeno Weber model under spherical fuzzy Z-numbers

S Ashraf, M Akram, C Jana, LS **, D Pamucar - Information Sciences, 2024 - Elsevier
Using the multi-criteria decision-making (MCDM) approach, this research piece addresses
the urgent problems of environmental degradation and climate change. The method …

A review on different pipeline defect detection techniques

S Razvarz, R Jafari, A Gegov, S Razvarz… - Flow modelling and …, 2021 - Springer
This chapter attempts to outline the pipeline failures and their impact on safety and
environmental risks besides causing blockages and leaks in pipe networks. Furthermore …

A review on some arithmetic concepts of Z-number and its application to real-world problems

M Abdullahi, T Ahmad… - International Journal of …, 2020 - World Scientific
Zadeh introduced the concept of Z-numbers in 2011 to deal with imprecise information. In
this regard, many research works have been published in an attempt to introduce some …

Event-triggered-based adaptive sliding mode control for T–S fuzzy systems with actuator failures and signal quantization

M Li, P Shi, M Liu, Y Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article investigates the problem of event-triggered-based sliding mode control (SMC) for
a class of Takagi-Sugeno (TS) fuzzy systems with actuator failures and signal quantization …

Z-differential equations

M Mazandarani, Y Zhao - IEEE Transactions on Fuzzy Systems, 2019 - ieeexplore.ieee.org
This paper is devoted to make a framework for studying a class of uncertain differential
equations called Z-differential equations. In order to achieve the purpose, we first introduce …

Evaluation of economic development policies using a spherical fuzzy extended TODIM model with -numbers

S Ashraf, M Sohail, A Fatima, SM Eldin - Plos one, 2023 - journals.plos.org
Zadeh's Z̆-numbers are able to more effectively characterize uncertain information.
Combined with “constraint” and “reliability”. It is more powerful at expressing human …

Chebyshev spectral method for solving fuzzy fractional Fredholm–Volterra integro-differential equation

S Kumar, JJ Nieto, B Ahmad - Mathematics and Computers in Simulation, 2022 - Elsevier
The fuzzy integral equation is used to model many physical phenomena which arise in many
fields like chemistry, physics, and biology, etc. In this article, we emphasize on mathematical …

[หนังสือ][B] Modeling and control of uncertain nonlinear systems with fuzzy equations and Z-number

W Yu, R Jafari - 2019 - books.google.com
An original, systematic-solution approach to uncertain nonlinear systems control and
modeling using fuzzy equations and fuzzy differential equations There are various numerical …

Neural network approach to solving fuzzy nonlinear equations using Z-numbers

R Jafari, S Razvarz, A Gegov - IEEE Transactions on Fuzzy …, 2019 - ieeexplore.ieee.org
In this article, the fuzzy property is described by means of the Z-number as the coefficients
and variables of the fuzzy equations. This alteration for the fuzzy equation is appropriate for …

[HTML][HTML] Solution of fuzzy differential equations using fuzzy Sumudu transforms

R Jafari, S Razvarz - Mathematical and Computational Applications, 2018 - mdpi.com
The uncertain nonlinear systems can be modeled with fuzzy differential equations (FDEs)
and the solutions of these equations are applied to analyze many engineering problems …