[PDF][PDF] An overview of multi-criteria decision analysis and the applications of AHP and TOPSIS methods

S Chaube, S Pant, A Kumar, S Uniyal… - International Journal …, 2024 - researchgate.net
The integration of multiple technical, economic, environmental, and social criteria
establishes Multi-Criteria Decision Analysis (MCDA) as a dependable decision-making tool …

A decision-making model with intuitionistic fuzzy information for selection of enterprise resource planning systems

PP Deb, D Bhattacharya, I Chatterjee… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Involvement of small and medium-scale enterprises is important for develo** countries
like India. Henceforth, enhancing their competency with the adoption of a suitable enterprise …

Understanding Business Intelligence Implementation Failure from Technology, Organization, and Process Perspectives

RA Williams, GM Duman, E Kongar… - IEEE Engineering …, 2023 - ieeexplore.ieee.org
Business intelligence (BI) systems are a suite of technologies enabling rapid decision
making in modern business environments of rapidly changing market dynamics and …

[PDF][PDF] A novel hesitant intuitionistic fuzzy DEMATEL-TOPSIS model for cloud service provider selection

P Aazagreyir, P Appiahene, O Appiah… - Available at SSRN …, 2023 - researchgate.net
As there is a greater need for businesses to outsource their information and communication
technology (ICT) departments, cloud service providers are growing in popularity. Numerous …

Data science technology selection: development of a decision-making approach

K Nazlıel, K Kayabay, MO Gökalp… - … IEEE Technology and …, 2022 - ieeexplore.ieee.org
Developments in data science and related fields have created plentiful technologies for the
business world. The rapid developments in new technologies obstruct analytics teams' data …

A Study on Data Quality and Analysis in Business Intelligence

RC Bosse, M **o, F de Franco Rosa - International Conference on …, 2024 - Springer
Data quality is an increasingly important concern for organizations as their dependence on
data to make decisions is growing. Business Intelligence methods and techniques are used …

Fuzzy Risk Assessment of Tunnels' Undercrossing Existing Structures

C Wang, JW Li, H Wang - Mathematical Problems in …, 2022 - Wiley Online Library
Numerical calculation is usually employed to analyse the safety risks of tunnel construction
under existing structures. However, due to the fuzziness and randomness of the construction …

Evaluation of Business Intelligence Tools for the Logistics Sector with Hesitant Fuzzy Hybrid MCDM Methods

ET Küp, B Demir, A Gün, F Samanlioglu… - … on Intelligent and Fuzzy …, 2024 - Springer
Business intelligence (BI) tools have become essential for logistics companies due to their
ability to facilitate improved decision-making and operational efficiency, as they provide …

Chase Carthen, Zach Estreito, Vinh Le, Jehren Boehm, Scotty Strachan

A Tavakkoli, FC Harris Jr… - ITNG 2024: 21st …, 2024 - books.google.com
Democratizing established research infrastructure yields profound beneficial effects on local
regions, especially with sensor networks deployed through environmental research. The …

MEREC-WISP (S) Integration Extended with Fermatean Fuzzy Set for Requirement Prioritization

A Rahman - Foundation University Journal of Engineering and …, 2024 - fujeas.fui.edu.pk
Software projects need efficient requirement prioritization. Time, budget, and quality often
limit these projects. MCDM techniques help balance conflicting criteria. However, they …