[HTML][HTML] Soft consensus cost models for group decision making and economic interpretations
In a group decision-making (GDM) process, experts reach a consensus after discussion and
persuasion, which requires a moderator to spend time and resource to persuade experts to …
persuasion, which requires a moderator to spend time and resource to persuade experts to …
An AHP-IFT integrated model for performance evaluation of E-commerce web sites
This study presents a hybrid framework of Analytic hierarchy process and Intuitionistic Fuzzy
Technique for Order of Preference by Similarity to Ideal Solution for the assessment and …
Technique for Order of Preference by Similarity to Ideal Solution for the assessment and …
Three conflict methods in multiple classifiers that use dispersed knowledge
M Przybyła-Kasperek - International Journal of Information …, 2019 - World Scientific
In this paper, a conflict model proposed by Pawlak was applied to the approach in which
multiple classifiers make global decisions based on dispersed knowledge. Such an …
multiple classifiers make global decisions based on dispersed knowledge. Such an …
Strategic diagnosis of China's modern coal-to-chemical industry using an integrated SWOT-MCDM framework
D Xu, L Dong - Clean Technologies and Environmental Policy, 2019 - Springer
In this study, a novel framework was proposed by incorporating fuzzy MCDM (multi-criteria
decision-making) methods into the SWOT (strength–weakness–opportunity–threat) analysis …
decision-making) methods into the SWOT (strength–weakness–opportunity–threat) analysis …
Multiple attribute decision-making methods with unbalanced linguistic variables based on maclaurin symmetric mean operators
F Teng, P Liu, L Zhang, J Zhao - International Journal of Information …, 2019 - World Scientific
In this paper, we firstly introduced the unbalanced linguistic term sets, the linguistic
transforming methodology, the Maclaurin symmetric mean (MSM) operator and dual MSM …
transforming methodology, the Maclaurin symmetric mean (MSM) operator and dual MSM …
A judgment-based risk assessment framework for consumer loans
FAF Ferreira, I Meidutė-Kavaliauskienė… - … Journal of Information …, 2019 - World Scientific
Credit to personal consumption is an important activity of the financial system and crucial to
the socioeconomic development of a country. It is important, therefore, that the methods and …
the socioeconomic development of a country. It is important, therefore, that the methods and …
Multi-stream data analytics for enhanced performance prediction in fantasy football
Fantasy Premier League (FPL) performance predictors tend to base their algorithms purely
on historical statistical data. The main problems with this approach is that external factors …
on historical statistical data. The main problems with this approach is that external factors …
Enhancing managerial decision-making through multicriteria modeling
R Gawlik - 2019 - mpra.ub.uni-muenchen.de
The monograph constitutes a crowning of research led in the field of particular methodology
of management science, in the field of enhancing managerial decision-making sub …
of management science, in the field of enhancing managerial decision-making sub …
Fora: an owo based framework for finding outliers in web usage mining
Handling outliers are one of the primary concerns of today's data mining techniques. The
concept of outliers, it's handling, and diagnosis is context specific and varies according to …
concept of outliers, it's handling, and diagnosis is context specific and varies according to …
[PDF][PDF] Application of machine learning to mining customer reviews
Online customer reviews are important sources of information influencing consumers'
attitudes towards products and brands. Businesses also use them to gain deeper insights …
attitudes towards products and brands. Businesses also use them to gain deeper insights …