Assessment of autonomous smart wheelchairs for disabled persons using hybrid interval-valued Fermatean fuzzy combined compromise solution method

Abstract

The wheelchair is the commonly used assistive devices to promote mobility and enrich quality of life for persons who have difficulties in walking. Smart wheelchair is normally equipped with sensors, cameras and computer-based structure as key processing unit to be able to execute the specific work. The autonomous smart wheelchairs (ASWs) for disabled persons are organized by human user interface where the human takes decisions at the highest level of operation and the smart control technology offers the remaining the motion automatic. In this study, we develop a hybridized combined compromise solution (CoCoSo) approach based on Dombi operators and similarity measure for assessing the ASWs of five manufacturing companies on interval-valued Fermatean fuzzy sets (IVFFSs). To illustrate the feasibility and effectiveness of the presented approach, a case study of company selection to manufacture the ASWs for disabled persons is presented where the assessment alternatives are given in terms of IVFFSs. In this context, globally existing manufacturing companies of ASWs for disabled persons are recognized and then ranked over thirteen criteria of sustainability. Sensitivity analysis over the variation of criteria weights determines the stability of the results. A comparison with extant models shows the practicality and steadiness of the presented method.