Modified Plithogenic Sets in Criterion Reduction in Optimal Decisioning on Robotized Technology

Abstract

Plithogenic sets are primarily characterized as a quintuple of the form (P, a, V, d, c) 
comprising attributes, attribute values, degrees of appurtenance and contradiction. The 
decision-making process is quite intricate with conflicting criteria or the attributes. Henceforth, it is 
essential to minimize the number of criteria to reduce the complexity of decisioning. The research is 
intended to develop a new approach to handle intricate multi-criteria decision-making problems 
more effectually, particularly when dealing with conflicting and high dimensional criteria. The 
objective of this research work is to introduce modified Plithogenic sets to perform criterion 
reduction based on degrees of contradiction. The proposed method scientifically examines the 
contradiction among attribute values to find the relative importance of each criterion. The 
computation of criterion weights facilitates in identifying the core criteria essential for optimal 
ranking. The proposed approach of criterion reduction using modified Plithogenic sets is 
illustrated in the decisioning of robotized technology. The performance of the proposed model is 
compared with neutrosophic based Analytic Hierarchy Process (AHP) to validate its robustness 
and consistency. The efficacy of the developed method of criterion reduction is validated with 
other most commonly methods of determining criterion weights. The newly introduced approach 
is more efficient in handling any number of criteria belonging to both benefit and cost category. 
Also, the contradiction degrees based on the cognition of human experts may result in few 
variations is identified as the limitation of the proposed approach. 

DOI: 10.5281/zenodo.16734076