Development of Hybrid Model for Donations to Deserving Donees Using Multi-Polar Interval-Valued Neutrosophic Soft Set

Abstract

Multicriteria decision-making techniques have been used widely in intelligent decision support systems for many executive decisions. Nongovernment organizations (NGOs), Non-Profitable Organizations (NPOs), and privileged persons employ survey methods to obtain deserving people’s data for charity donations under United Nations poverty alleviation initiatives, for example, financial assistance. They collect data manually or semi-automated, then narrow down the list of deserving recipients based on specific criteria. That usually results in a list of recipients who either don’t deserve it or, if they do, aren’t the perfect fit. Furthermore, the final recommendations of NGOs and NPOs partially address the poverty disparity and position all of them are on same level, resulting in the less justified distribution of charity. Due to the simultaneous evaluation of several characteristics. This paper formulates the problem of distributing funds to deserving peoples as a multicriteria decision-making problem to address these concerns. A Multipolar Interval-Valued Neutrosophic Soft Set (mIVNS) is used to address the issue of selecting suitable candidates for financial aid and distribution of funds. To implement the proposed methodology, a sample of 5 distinct deserving attributes is considered according to their intensity of poverty gap for allocation of funds. By using distance-based similarity measures, the technique of mIVNS sets has been used to select candidates and distribute funds. This methodology supports the management of NPOs and NGOs, and privileged individuals to disburse financial aid in deserving families according to their needs better.