{
"item_title" : "Powered Aggregation Operators via Arithmetic and Geometric",
"item_author" : [" M. Palanikumar", "K. Arulmozhi", "N. Sundarakannan "],
"item_description" : "Mathematical techniques called aggregation operators are used to combine several input values into a single representative value. Particularly in the fuzzy and multi-criteria decision-making (MCDM) problems you frequently deal with, they are essential to decision-making, fuzzy systems, information fusion, statistics, and artificial intelligence. Weighted Mean (WM): Assigns importance (weights) to individual data points before averaging. Ordered Weighted Averaging (OWA): Sorts values first, then applies weights to the ranked data, allowing for flexibility (MIN and MAX are special cases).",
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Powered Aggregation Operators via Arithmetic and Geometric
Overview
Mathematical techniques called aggregation operators are used to combine several input values into a single representative value. Particularly in the fuzzy and multi-criteria decision-making (MCDM) problems you frequently deal with, they are essential to decision-making, fuzzy systems, information fusion, statistics, and artificial intelligence. Weighted Mean (WM): Assigns importance (weights) to individual data points before averaging. Ordered Weighted Averaging (OWA): Sorts values first, then applies weights to the ranked data, allowing for flexibility (MIN and MAX are special cases).
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Details
- ISBN-13: 9786209516542
- ISBN-10: 6209516548
- Publisher: LAP Lambert Academic Publishing
- Publish Date: January 2026
- Dimensions: 9 x 6 x 0.27 inches
- Shipping Weight: 0.35 pounds
- Page Count: 112
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