Soft Computing Fusion with Applications

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Mon, 22 Apr 2024 00:00:00 +0000

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Multi-Criteria Decision-Making Model for Rank Strategy to Overcome Barriers to Integrating the AI and Cloud Systems in the IT Industry

Ahmed Abdelhafeez, Alber Shawky Aziz — Sun, 07 Jan 2024 00:00:00 +0000

This study proposed a decision-making framework for identifying key barriers when implementing Artificial Intelligence (AI) and cloud systems in the Information Technology (IT) industry. Then, it proposed a set of strategies to overcome these barriers. We proposed a Multi-Criteria Decision-Making (MCDM) methodology for various criteria. Multiple barriers, such as cost, technology, environment, and digitization, should be analyzed. The Evaluation Based on Distance from Average Solution (EDAS) method is an MCDM method logy used to rank the alternatives. The criteria weights are computed by the average method. This study used ten barriers and ten strategies. The results show that technological barriers have the highest importance in this study. The sensitivity analysis is conducted to show the stability rank of alternatives. There are eleven cases in which criteria weights are proposed. Then, the EDAS method is used to rank the other options. The results show the stability of the rank under different cases.

Multi-Criteria Decision-Making Methodology for Ranking and Selecting Optimal Metaverse Platform

Shimaa S. Mohamed, Ahmed M. Ali — Fri, 23 Feb 2024 00:00:00 +0000

This study adopted a decision-making model for ranking and sectioning the best Metaverse platforms. This section has various criteria such as effectiveness, safety, user experience, etc. So, the Multi-Criteria Decision-Making (MCDM) methodology is used to deal with multiple criteria. The MABAC method is an MCDM methodology used to rank the alternatives. The proposed methodology is applied to nine criteria and fifteen alternatives. The criteria weights are computed. The sensitivity analysis is conducted to show the stability of the final rank. The ten cases in criteria weights are proposed, and ten ranks are shown. The results show the rank of alternatives under different cases is stable. The comparative analysis is conducted with other MCDM methods such as TOPSIS, VIKOR, EDAS, and COPRAS. The results show the proposed methodology is effective with other MCDM methods.

A New Approach for Solving Fuzzy Cooperative Continuous Static Games

Seyyed Ahmad Edalatpanah, Hamiden Abd El- Wahed Khalifa , Robert S. Keyser — Mon, 15 Jan 2024 00:00:00 +0000

This study explores Cooperative Continuous Static Games (CCSGs) characterized by fuzzy cost functions that are piecewise quadratic. It introduces an effective approximation technique, specifically the close interval approximation for Piecewise Quadratic Fuzzy Numbers (PQFNs). The paper employs the weighted Tchebycheff method to derive an optimal compromise solution and establishes the corresponding stability set of the first kind. Additionally, a numerical example is provided to illustrate the effectiveness of the proposed method in computational terms.