In this study, we developed a modified version of the CRiteria Importance Through Inter-criteria Correlation (CRITIC) method, namely the Distance Correlation-based CRITIC (D-CRITIC) method. The usage of the method was illustrated by evaluating the weights of five smartphone criteria. The same evaluation was repeated using four other objective weighting methods, including the original CRITIC method. The results from all the methods were further analyzed based on three different tests (i.e., the distance correlation test, the Spearman rank-order correlation test, and the symmetric mean absolute percentage error test) to validate D-CRITIC. The tests revealed that D-CRITIC could produce more valid criteria weights and ranks than the original CRITIC method since D-CRITIC yielded a higher average distance correlation, a higher average Spearman rank-order correlation, and a lower symmetric mean absolute percentage error. Besides, additional sensitivity analysis indicated that D-CRITIC has the tendency to deliver more stable criteria weights and ranks with a larger decision matrix. The research has contributed an alternative objective weighting method to the area of multi-criteria decision-making through a unique extension of distance correlation. This study is also the first to propose the idea of a distance correlation test to compare the performance of different criteria weighting methods.

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When adolescents go overseas to study, they have to face the challenge of adapting to local cultures, homesickness, and dealing with the stress. This study aimed to investigate the socio-cultural adaptation, homesickness, and perceived stress among international students in relation to social sustainability in a public university in Sabah, Malaysia. This research also related how international students manage both positive and negative impacts on their social life in university. The study included all international students in that university except Bruneian and Indonesian students. The sample group comprised 100 male and 100 female students. This study used four questionnaires: (i) Perceived Stress Scale, (ii) Homesickness Scale, (iii) Socio-cultural Adaptation Scale, and (iv) Revised Sociocultural Adaptation Scale. The results indicated that the socio-cultural adaptation and perceived stress levels were significantly correlated, r (198) = 0.354, p < 0.05. The level of homesickness and perceived stress were also significantly correlated, r (198) = 0.314, p < 0.05. The outcome of this study can help overseas students lead better lives abroad, while the university can arrange relevant activities to help them better adapt to local cultures and perceive less stress. The present study underlined the importance of increasing socio-cultural adaptation and social sustainability and decreasing homesickness among international students studying at the public university in Sabah.

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λ0-measure is a special type of fuzzy measure. In the context of multi-attribute decision making (MADM), the measure can be used together with Choquet integral to model the interdependencies that usually present between the decision attributes. Unfortunately, the range of techniques available to estimate λ0-measure values is too limited i.e., only four techniques are available to this date. Besides, the review on literature shows that each of these existing techniques either requires some initial data from the decision-makers or misrepresents the actual interdependencies held by the attributes. Thus, an alternate unsupervised technique is needed for the estimation of λ0-measure values. This study has developed such a technique by integrating the idea of distance correlation and Shannon entropy. In this technique, the two inputs required to estimate λ0-measure values, namely, the interdependence degrees and fuzzy densities are determined by utilizing the distance correlation measures and entropy weights, respectively. An evaluation to rank the websites owned by five different hospitals located in Sabah, Malaysia, was conducted to illustrate the usage of the technique. A similar evaluation was also performed with a few selected MADM techniques for comparison purposes, where the proposed technique is found to have produced the most consistent ranking. From the literature perspective, this study has contributed an alternate unsupervised technique that can estimate λ0-measure values without necessitating any additional data from the decision-makers, and at the same time can better capture the interdependencies held by the attributes.