Application of Laplace and Fourier Transforms in MAGDM Problems - Robinson, John
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A MAGDM problem is to find a desirable solution from a finite number of feasible alternatives assessed on multiple attributes. To choose a desirable solution, the decision maker often provides his/her preferred information in the form of numerical values, such as exact values, interval number values and fuzzy numbers. However, under many conditions, numerical values are inadequate or insufficient to model real-life decision problems. Indeed, human judgments including preference information may be stated in problems of Laplace and Fourier transform information. Hence, MAGDM problems under Laplace and Fourier environment are an interesting area of study.…mehr

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Produktbeschreibung
A MAGDM problem is to find a desirable solution from a finite number of feasible alternatives assessed on multiple attributes. To choose a desirable solution, the decision maker often provides his/her preferred information in the form of numerical values, such as exact values, interval number values and fuzzy numbers. However, under many conditions, numerical values are inadequate or insufficient to model real-life decision problems. Indeed, human judgments including preference information may be stated in problems of Laplace and Fourier transform information. Hence, MAGDM problems under Laplace and Fourier environment are an interesting area of study.
Autorenporträt
Dr. P. John Robinson is Working as an Assistant professor in the Department of Mathematics, Bishop Heber College, Tiruchirappalli, India. He completed Ph.D in Mathematics in the year 2013. He has 8 years of teaching and research experience. He is interested in the area of fuzzy set theory and and its applications in decision making and data mining.