A Fuzzy Multi-Criteria Decision Technique (FMCDT) To Model Wellness | Original Article

ABSTRACT:

There is no such a concept called total wellness or non- wellness. Human society always experiences a gradual transition between wellness to non-wellness. Wellness cannot be modelled or assessed in classical logic or traditional logic. Wellness contains a notion of fuzziness or a blurred boundary, because there is no such a state in human life where we can assess and say that wellness exists or it doesn’t exist. But it is often observed that someone is more realistically described as being ‘more or less’ well rather than as being only either well or non-well. This interpretation is mathematically determined by a Fuzzy Set concept. In a Fuzzy concept ‘Wellness is a matter of Degree’. This paper uses Fuzzy Multi-Criteria Decision Technique to capture the extent of wellness of a person incorporating both the quantitative and qualitative factor of health status. The multi-Criteria are Physical, Mental, Emotional, Spiritual, Economic, Social and Environmental. These Multi- Criteria are called the Wellness determinant factors. Fuzzy multi-criteria Technique uses fuzzy numbers system to capture the experts’ opinion. Experts’ opinions are generally in linguistic variables such as very well, almost very well, almost well well, rather well, not-so-well and not-at-well. These variables need Fuzzy Numbers to quantify the data. So far, triangular, trapezoidal, and pentagonal fuzzy numbers have been used. This paper introduces Septa-gonal Fuzzy Membership Function to assess the wellness of an individual or a community accommodating multi-directed hyper graph. This paper has three sections namely introduction, review of literature, wellness assessment model with an example and conclusion.