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Attributes Weight Determination in Magdm Problems using Some Numerical Method Techniques
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.f1306.0486s419
Subject(s) - operator (biology) , numerical analysis , cauchy distribution , operator matrix , computer science , matrix (chemical analysis) , fuzzy logic , mathematics , euler's formula , algorithm , mathematical optimization , artificial intelligence , pure mathematics , mathematical analysis , biochemistry , chemistry , materials science , repressor , transcription factor , composite material , gene
Here MAGDM problems are explored. Attribute weight data given are in the form of problems involving numerical method solutions. The decision information during this study is in the shape of Intuitionistic Fuzzy Numbers (IFNs) derived from Intuitionistic Fuzzy Sets (IFSs). The IFOWA operator and IFHA operator are used for collecting the combined matrix. The modified Euler-Cauchy method and Heun method are used to calculate the unidentified weights. Effectiveness of the projected method is established using Numerical Illustrations.

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