Integrated MEREC-CoCoSo approach using score function of Neutrosophic for location selection of special economic zone

Abstract

 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.