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[PDF][PDF] An overview of multi-criteria decision analysis and the applications of AHP and TOPSIS methods
The integration of multiple technical, economic, environmental, and social criteria
establishes Multi-Criteria Decision Analysis (MCDA) as a dependable decision-making tool …
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
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 …
like India. Henceforth, enhancing their competency with the adoption of a suitable enterprise …
Understanding Business Intelligence Implementation Failure from Technology, Organization, and Process Perspectives
Business intelligence (BI) systems are a suite of technologies enabling rapid decision
making in modern business environments of rapidly changing market dynamics and …
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
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 …
technology (ICT) departments, cloud service providers are growing in popularity. Numerous …
Data science technology selection: development of a decision-making approach
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 …
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 …
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 …
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
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 …
ability to facilitate improved decision-making and operational efficiency, as they provide …
Chase Carthen, Zach Estreito, Vinh Le, Jehren Boehm, Scotty Strachan
Democratizing established research infrastructure yields profound beneficial effects on local
regions, especially with sensor networks deployed through environmental research. The …
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 …
limit these projects. MCDM techniques help balance conflicting criteria. However, they …