IDENTIFY COMBINATION OF PREFERENCES IN TIME FOR MEASURING MULTIDIMENSIONAL POVERTY, ANFIS APPROACH

Subject Areas : Financial Economics

amir aryana ¹ , محسن زاینده رودی ^{2 *} , Syed Abdul Majeed Jalai Isfandabadi ³

1 - phd student - islamic azad university
2 - استادیار گروه اقتصاد ، واحد کرمان، دانشگاه آزاد اسلامی، کرمان ، ایران.
3 - Head of Faculty of Management and Economics of Shahid Ba Honer Kerman University

Received: 2022-09-30 Published : 2025-12-09

Keywords: multidimensional poverty, adaptive fuzzy inferences system, preferences,

Abstract :

Multidimensional poverty defined as a completely definition of poverty. Multidimensional poverty based on Alkire & Foster indexses is health indicator, education indicator, standard of living indicator. Indexes in details are children education, adult education, man health, women health, children health, home flooring, sanitary facilities, shared facilities, access to safe water, assets. Preferences is the resaons of people for Decision-making can be social & personal is divided into trust, risks, altruism, positive and negative reciprocity. This research introduce the preferences in time and uses questionnaires in three stage. At first measuring multidimensional poverty in three income group. Then identify combinations of preferences in each group separetly. Adaptive neuro fuzzy inference system (ANFIS) in MATLAB software used to examine the effects of this. The results show that different combinations in income groups, so that in low income pereferences of people are trust, altruism, reciprocity and risk, in middle income and high income the preferences are altruism,reciprocity, trust and risk.