Analysis of social aspects of migrant labourers living with by W. B. Vasantha Kandasamy

By W. B. Vasantha Kandasamy

HIV/AIDS is everybody's enterprise. this present day, it's extra a topic of society, than an issue of medicine...In this daring try that searches for sociological strategies, the gripping genuine existence tales of sixty migrant labourers dwelling with HIV/AIDS in rural Tamil Nadu, India, were documented. Their socio-psychological features were analyzed utilizing the most recent fuzzy mathematical instruments like Fizzy Cognitive Maps, Bidirectional Associative thoughts, and Fuzzy Relational Maps. as a result of have to signify the area, Neutrosophy (the philosophy of neutralities) and its hooked up constitution, Neutrosophic Cognitive Maps, were hired for his or her special skill to deal with indeterminacy among concepts.Presented in a lucid demeanour, this booklet is a crucial contribution to HIV/AIDS literature.

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0], being descretized into integers for analytical simplicity. After differential game-based strategy simulation with these parameters, [65] maintained u1∗ for each case. 32 Table 3. C. Lee et al [65] expected performance index JI for each case after strategic planning period, which is summarized in the following Table 4. Table 4. 67 The value of performance index in Table 4 are obtained from summing two terms: profits during strategic planning periods and relative market share at the terminal planning time.

That is, for every element V1 where χ1 (vi) = 1, the corresponding value in V2 has the grade of membership of 0, and vice versa. In this case AD = ∑ n i =1 di n = n =1 n and thus S = 1 – AD = 1 – 1 = 0, which indicates the extreme degree of dissimilarity. In the case of fuzzy sets, where most of the elements have grades of membership between 0 and 1, no perfect similarity, or perfect dissimilarity is expected, but similarity to some degree is more reasonable outcome. 50 The method for computing closeness of relation (similarity) for inversely related vectors is in principle very similar to that of the directly related vectors, with the exception that the distance between the corresponding elements of the inversely related vectors V1 and V2 is Idi = χ1 (νi) – (1 – χ2 (νI)) where idi is the distance between the corresponding elements of inversely related vectors.

Increase of composite stock price, + (FCR–1) 44 where the quantity fuzzy sets are “buying” and “increase”. The modifier fuzzy sets are “institute in-vestors” and “composite stock price”. By definition, the (FCR–1) is equivalent to the following: Not buying by institute investors  → Not increase of composite stock price. + (FCR–2) Here “not buying” and “not increase” are the dis-quantity fuzzy sets. It is noteworthy that the negation term “not” is used in the (FCR-2). Let us represent (FCR-2) by antiquanity fuzzy sets.

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