Integrated MEREC-CoCoSo approach using score function ofNeutrosophic for location selection of special economic zone
Vol: 73, Issue: 1
2024
- 47Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage47
- Downloads34
- Abstract Views13
Article Description
Special economic zones (SEZs) are essential if a developing country is to boost economic growth. The selection of an SEZ site might be viewed as a multi-criteria decision-making (MCDM) difficulty because of the many conflicting aspects connected to different locations. This work presents a flexible neutrosophic MCDM approach for optimal SEZ site search. The single-valued neutrosophic sets transform the qualitative evaluation of the criteria for SEZ alternatives into a quantitative evaluation. The method based on removal effect on criteria (MEREC) approach is improved in a neutrosophic environment to ascertain the relevance of every characteristic of SEZ alternatives. We suggested a three-tuple neutrosophic combined compromised solution (N-CoCoSo) to evaluate the choice of expert to solve the SEZ site ranking problem. According to the planned N-CoCoSo, coastal forest regions are the worst location for SEZ sites; agricultural land near coastal areas is ideal. The sensitivity and comparability study helps establish the suggested method’s consistency and resilience.
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