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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Dr. M.PALANIKUMAR, Mr. N.SUNDARAKANNAN, Department of Mathematics, SRM Valliammai Engineering College, Kattankulathur, India. Dr. K. ARULMOZHI, Department of Mathematics, Bharath Institute of Higher Education and Research,Chennai, India.Our motto in life is to "There are no shortcuts; if you put in the effort, you will succeed.".
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Paperback. Zustand: new. Paperback. 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). This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9786209516542
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Paperback. Zustand: new. Paperback. 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). This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9786209516542
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Paperback. Zustand: new. Paperback. 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). This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9786209516542
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