- مبلغ: ۸۶,۰۰۰ تومان
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Talking about promoting the quality of market research is not possible without tackling the problem of implementing an efficiency evaluation tool, to systematically gauge work performance. The application of this measurable system requires setting up a metric system for sampling survey or field studies with fuzzy data. Given the nature of the topic, studies of market research and decision management could have analyzed how people plan and execute their activities within a given time interval; researchers could have investigated plan-action discrepancies as a function of dynamic events, time budgets, etc. However, most research studies use cross-sectional designs and measurement instruments that emphasize stability rather than dynamic aspects of time-management behavior. Future research could profit much from dynamic approaches to theory building and research (Nguyen & Wu, 2006a, 2006b; Nguyen, Kreinovich, Wu, & Gang, 2011). In many fields, such as human language, thought, and decision making—where categorization (or ranking) is vague and nonquantitative, often simply non-specific preferences—significant data may get lost easily. Consequently, statistical phenomena can easily and quickly describe the basic structure of the information for data analysis, employed in many academic areas. Many researches focus on the applications of fuzzy statistical analysis in the social sciences, who identify the model construction through qualitative simulation. Wu and Tseng (2002) use a fuzzy regression method of coefficient estimation to analyze Taiwan monitoring index of economics. Nguyen et al., (2011) provide an extensive treatment of the theory of fuzzy statistics.