[HTML][HTML] A comparison between fuzzy AHP and fuzzy TOPSIS methods to software requirements selection

M Nazim, CW Mohammad, M Sadiq - Alexandria Engineering Journal, 2022 - Elsevier
The fuzzy set theory as one of the key agents of artificial intelligence has been used to deal
with vagueness and imprecision during the decision-making process. The software …

Efficiency of the rail sections in Brazilian railway system, using TOPSIS and a genetic algorithm to analyse optimized scenarios

D Marchetti, P Wanke - Transportation Research Part E: Logistics and …, 2020 - Elsevier
A railway system plays a significant role in countries with large territorial dimensions. The
Brazilian rail cargo system (BRCS), however, is focused on solid bulk for export. This paper …

Adapting instruments and modifying statements: The confirmation method for the inventory and model for information sharing behavior using social media

T Yahaya, K Idris, T Suandi… - Management Science …, 2018 - m.growingscience.com
This study aims to confirm the information sharing behavior using social media scale and to
vali-date every item and make it reliable as an inventory by using Exploratory Factor …

A Pearson-like correlation-based TOPSIS method with interval-valued Pythagorean fuzzy uncertainty and its application to multiple criteria decision analysis of stroke …

LH Ho, YL Lin, TY Chen - Neural Computing and Applications, 2020 - Springer
This paper extends one of the most extensively used multiple criteria decision analysis
(MCDA) methods, the technique for order preference by similarity to ideal solutions …

A Pythagorean fuzzy TOPSIS method based on novel correlation measures and its application to multiple criteria decision analysis of inpatient stroke rehabilitation

YL Lin, LH Ho, SL Yeh, TY Chen - International Journal of Computational …, 2018 - Springer
The complex nature of the realistic decision-making process requires the use of
Pythagorean fuzzy (PF) sets which have been shown to be a highly promising tool capable …

A novel enhanced supplier selection method used for handling hesitant fuzzy linguistic information

KH Chang - Mathematical problems in engineering, 2022 - Wiley Online Library
Today's competitive businesses have been shifted from the company‐to‐company
competition model to the supply chain‐to‐supply chain competition model. The selection of …

Closed-loop supply chain management (CLSCM) in the circular economy

A Szmelter-Jarosz, H Abdi… - Journal of Business …, 2024 - repozytorium.bg.ug.edu.pl
The concept of a circular economy, where waste is minimized and natural resources are
conserved, has gained increasing attention in recent years. Closed-loop supply chain …

Modelling the barriers in managing closed loop supply chains of automotive industries in Bangladesh

SM Ahmed, CL Karmaker, D Doss… - International Journal of …, 2020 - ijsom.com
Closing the supply chain loop at the end of a product's life cycle is gaining popularity among
researchers and practitioners because of its paramount influence on social and …

Information Sharing in the Two-Level Manufacturer-Retailer Supply Chain Using the PSSCA

M Rahmaty - … Journal of Management Studies (Formerly known as …, 2024 - ijms.ut.ac.ir
In this paper, a model of a two-level manufacturer-retailer supply chain (TLMRSC) under
uncertainty in information sharing (IS)/not sharing information (NIS) was developed. The …

A TOPSIS multi-criteria decision method-based function-link fuzzy CMAC control system design for uncertain nonlinear systems

CM Lin, TT Huynh, CC Tsai - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
This paper presents a more efficient control algorithm for selecting suitable firing nodes and
removing unimportant input variables automatically to improve the computational efficiency …