Melfi Alrasheedi
Biographic Data
| ID | 6584696 |
|---|---|
| NAME | Melfi Alrasheedi |
| GIVEN NAMES | Melfi |
| FAMILY NAME | Alrasheedi |
| SIGNATURE | ALRASHEEDI M |
| AFFILIATIONS | King Faisal University |
| ORCID | 0000-0002-3911-2152 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
Internet of Things (IoT) adoption barriers for the circular economy using Pythagorean fuzzy SWARA-CoCoSo decision-making approach in the manufacturing sector
Developing a New Framework for Conceptualizing the Emerging Sustainable Community-Based Tourism Using an Extended Interval-Valued Pythagorean Fuzzy Swara-Multimoora
Evaluating the green growth indicators to achieve sustainable development
Recent years have witnessed the green growth as a renowned efficient approach to tracking the progress towards sustainable development. The paper is mainly aimed to propose an innovative extended approach based on Combined Compromise Solution (CoCoSo) and Interval‐Valued Intuitionistic Fuzzy Set (IVIFS); thus, it is called IVIF Combined Compromise Solution (IVIF‐CoCoSo). This study is the first effort that used the fuzzy sets theory and decision‐…
Contribution of green infrastructure to the implementation of green economy in the context of sustainable development
The green term, as the concurrence of opinion between infrastructure and economy, has the ability to integrate natural resources and environmental services into the national income and wealth account. However, the mutual effects of green infrastructure (GI) and green economy (GE) are not always clear. This study aims to develop the influences of GI criteria into the implementation of GE in the context of sustainable development (SD) through using…
Evaluating the green growth indicators to achieve sustainable development
Recent years have witnessed the green growth as a renowned efficient approach to tracking the progress towards sustainable development. The paper is mainly aimed to propose an innovative extended approach based on Combined Compromise Solution (CoCoSo) and Interval‐Valued Intuitionistic Fuzzy Set (IVIFS); thus, it is called IVIF Combined Compromise Solution (IVIF‐CoCoSo). This study is the first effort that used the fuzzy sets theory and decision‐…
Contribution of green infrastructure to the implementation of green economy in the context of sustainable development
The green term, as the concurrence of opinion between infrastructure and economy, has the ability to integrate natural resources and environmental services into the national income and wealth account. However, the mutual effects of green infrastructure (GI) and green economy (GE) are not always clear. This study aims to develop the influences of GI criteria into the implementation of GE in the context of sustainable development (SD) through using…
Evaluating the green growth indicators to achieve sustainable development
Recent years have witnessed the green growth as a renowned efficient approach to tracking the progress towards sustainable development. The paper is mainly aimed to propose an innovative extended approach based on Combined Compromise Solution (CoCoSo) and Interval‐Valued Intuitionistic Fuzzy Set (IVIFS); thus, it is called IVIF Combined Compromise Solution (IVIF‐CoCoSo). This study is the first effort that used the fuzzy sets theory and decision‐…
Internet of Things (IoT) adoption barriers for the circular economy using Pythagorean fuzzy SWARA-CoCoSo decision-making approach in the manufacturing sector
Developing a New Framework for Conceptualizing the Emerging Sustainable Community-Based Tourism Using an Extended Interval-Valued Pythagorean Fuzzy Swara-Multimoora
Computer Science (4 works) · Artificial Intelligence (3 works) · Economics (3 works) · Environmental economics (3 works) · Fuzzy logic (3 works) · Mathematics (3 works) · Operations research (3 works) · Sustainable Supply Chain Management (3 works) · Artificial Intelligence (2 works) · Compromise (2 works)