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Sociological Complexity Theory:From Epistemology to Empirical Methodology
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作者 Rina Manuela Contini 《Sociology Study》 2023年第3期105-115,共11页
This study,through a re-conceptualization of sociological complexity theory’s epistemological sources,specifically in Edgar Morin’s formulation,sheds light on the theoretical models as well as empirical methodologie... This study,through a re-conceptualization of sociological complexity theory’s epistemological sources,specifically in Edgar Morin’s formulation,sheds light on the theoretical models as well as empirical methodologies of sociological analysis of today’s complex,interconnected,diverse and globalized society and global disorder.Complexity theory leads to a shift in perspective and a transformation of the epistemological status of social sciences with an in-depth intervention of disorder,contingency,case,singular,and non-repeatable in the sociological analysis.The notion of dialogic interplay is placed at the paradigm level and stands out at the heart of the concepts,analyzing the social system as auto-eco-organizer.Similarly,the notion of‘emergence’at macro-micro levels imposes itself as complex,logically requiring overcoming simple,linear thinking and model of explanation to adopt the perspective of organizational rotativity in which the product retroacts by transforming the one producing it,by conceiving a circularity of co-production between individuals and society through interactions.Declining epistemology and sociological complexity theory in the empirical methodology setting,the complex sociological approach is phenomenon-,event/information-and crisis-centered,privileging observation,participation-intervention,and‘live inquiry’.The open,in-depth and possibly non-directive interview is part of clinical sociological methodology,raising the question of the observer-phenomenon-observed relation. 展开更多
关键词 complexity sociology theory and methodology social system EMERGENCE micro-macro analysis participation-intervention
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Robust Design Method for Adjustable Mechanisms
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《Journal of Mechanics Engineering and Automation》 2014年第1期16-24,共9页
Most conventional robust design methods assume design solutions are fixed values. Using these methods, designers set each control factor to a fixed value to maximize the robustness of objective characteristics. Howeve... Most conventional robust design methods assume design solutions are fixed values. Using these methods, designers set each control factor to a fixed value to maximize the robustness of objective characteristics. However, fluctuations in the objective characteristic often exceed the allowable range in a design problem. Consequently, it is difficult to obtain sufficient robustness using conventional methods. This research defines adjustable control factors whose values can be adjusted within a given range to increase robustness and proposes a method to calculate robustness, including factors to adjust the objective characteristic and derive optimum ranges of the factors. The robustness index, which indicates the feasibility that the objective characteristic values are within the tolerance by the adjustment, is calculated by the Monte Carlo method, while the range of adjustable control factors is optimized using the Vector evaluated particle swarm optimization. Finally, an engineering example is presented to demonstrate the applicability of the proposed method. 展开更多
关键词 Robust design design theory and methodology seat design particle swarm optimization.
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