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[HTML][HTML] A comparison between fuzzy AHP and fuzzy TOPSIS methods to software requirements selection
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 …
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 …
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
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 …
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 …
(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 …
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 …
competition model to the supply chain‐to‐supply chain competition model. The selection of …
Closed-loop supply chain management (CLSCM) in the circular economy
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 …
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
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 …
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 …
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
This paper presents a more efficient control algorithm for selecting suitable firing nodes and
removing unimportant input variables automatically to improve the computational efficiency …
removing unimportant input variables automatically to improve the computational efficiency …