Abstract
One of the most challenging problems faced by people with epilepsy (PWE) is employment. But, from human resource managers’ point of view, they need reliable information before they can hire the PWE. A fuzzy model is developed to meet the need for both parties. The model is to help PWE identify their intelligence strengths and weaknesses in order to improve the probability of being employed. This paper presents a new fuzzy algorithm, namely Fuzzy Inverse ATIE (FIA) which is integrated to a crisp Logistic regression model to obtain a fuzzy model. Then based on the model, an ideal combination of eight intelligences which were based on Howard Gardner’s Multiple Intelligence was determined to improve the probability of PWE to be employed. The results show that with the suggested combinations, the probability, P(Y=1), is closed to 1. It can be concluded that the fuzzy model developed using the FIA algorithms has successfully improved the probability of PWE to be hired based on the best parameters of the eight intelligences.
Highlights
A fuzzy model was developed based on a fuzzy algorithm, called a Fuzzy Inverse Ability Test in Epilepsy (ATIE) (FIA)
The following theorem is deduced when the intersection occurs at minimum side of the induced value
If the intersection occurs at the maximum side of induced value, the following theorem is deduced
Summary
Lacking of understanding and knowledge on epilepsy causes the society to be less sensitive towards the sufferers. This leads to lack of self-acceptance and selfconfidence among the patients and creates even wider gap between them. Intelligence has been considered as a matter of honour and a pre-requisite to be employed. This has caused many scholars and geniuses to dedicate their life in understanding what are intelligence and how does it affect one’s life. Many definitions of Intelligence have been suggested by many outstanding scholars [3]. In 1993, he added two more types of intelligences, namely Naturalist and Spiritual [4]
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