An Overview of Qualitative Comparative Analysis Using GRA Methodology

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Comparative Analysis, Introduction: Comparative analysis involves contrasting objects against one another to identify their differences and similarities. A corporation can better comprehend an issue and develop solutions in response by performing a comparative analysis while analyzing an idea, problem, theory, or question. You will be required to write comparison and contrast essays throughout your academic career. These essays can compare and contrast two works, two ideologies, two historical people, two scientific methods, etc. Two similar things may have crucial differences (2 different pesticides of different impacts on the environment), or two similar things may have crucial differences but turn out to have surprising similarities in "classic" compare-and-contrast papers where you weight A and B equally. Research significance: Comparative analysis examines two or more things, individuals, acts, occasions, etc. You can comprehend the topic better by pointing out the parallels and contrasts between these. You might use a character analysis from a book, a movie, a main character from history, etc. You can also include nations, states, international organizations, businesses, calamities naturally occurring, ideologies and faiths, as well as commercial marketing and many other things. Before writing your own, you might find it beneficial to read some constant comparative sample essays. Comparative analysis essays can be formatted in a variety of ways. A quality or attribute may be combined in separate blocks. Each paragraph could discuss the traits' similarities and contrasts. Methology: Deng originally suggested Grey Relational Analysis (GRA), a tool for MCDM problems. It has been used successfully to address many MCDM challenges. The GRA is a model for evaluating effects that can evaluate the relationship between successions and fit with certain information investigation techniques or calculation strategies. Alternative: Japan, South Korea, and Delhi, Taiwan. Evaluation Preference: 1965, 1970, 1975, 1980, 1984. Result: from the result it is seen that 1980 and is got the first rank whereas is the 1975 got is having the lowest rank. Conclusion: The value of the dataset for Comparative Analysis in GRA (Gray-related analysis) method shows that it results in 1980 and top ranking.

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