%0 Journal Article
%T Genetic Algorithm Based Hybrid Fuzzy System for Assessing Morningness
%A Animesh Biswas
%A Debasish Majumder
%J Advances in Fuzzy Systems
%D 2014
%I Hindawi Publishing Corporation
%R 10.1155/2014/732831
%X This paper describes a real life case example on the assessment process of morningness of individuals using genetic algorithm based hybrid fuzzy system. It is observed that physical and mental performance of human beings in different time slots of a day are majorly influenced by morningness orientation of those individuals. To measure the morningness of people various self-reported questionnaires were developed by different researchers in the past. Among them reduced version of Morningness-Eveningness Questionnaire is mostly accepted. Almost all of the linguistic terms used in questionnaires are fuzzily defined. So, assessing them in crisp environments with their responses does not seem to be justifiable. Fuzzy approach based research works for assessing morningness of people are very few in the literature. In this paper, genetic algorithm is used to tune the parameters of a Mamdani fuzzy inference model to minimize error with their predicted outputs for assessing morningness of people. 1. Introduction With the preference of people to perform activities at early hours of a day or later hours or in night, the circadian rhythm of individuals differs. This difference is known as morning versus evening orientation or more simply morningness. These individual differences have greater impact in circadian phase positions on physiological and psychological variables which are controlling them [1]. It is related to the ease of an adjustment to and tolerance of the night or rotating shifts [2] and influences athletic [3] and academic performance [4] at different times of the day. Several self-reporting questionnaires have been developed to measure diurnal type or distinction between ¡°Larks¡± and ¡°Owls¡± [5¨C8]. The assumption guiding these questionnaires is that people who express preference for activities at the extremes of the 24 hours of the day perform physiologic and cognitive tasks in accord with the preference [9]. Factors modulating circadian preference are increasing interest in researchers [10] and these questionnaire techniques have increasing importance in preselection, placement, and counseling of personnel engaged in rotating shift work or night work. Morningness scales, especially the Horne and Ostberg¡¯s [5] Questionnaire (MEQ) is considered as the most popular and standardized for use in various countries and translated version like Posey and Ford [11] validated it in USA; Macacci and Zani [12] in Italy and Kerkhof [13] carried out a validation study of Dutch questionnaire; Ishihara et al., [14] validated in Japanese version; Benedito-Silva et al.,
%U http://www.hindawi.com/journals/afs/2014/732831/