Ranking and Prioritization for Multi-indicator Systems: Introduction to Partial Order Applications
Bruggemann, Rainer; Patil, Ganapati P.
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Description for Ranking and Prioritization for Multi-indicator Systems: Introduction to Partial Order Applications
paperback. This book provides axioms of partial order and some basic material, for example consequences of criss-crossing of data profiles, the role of aggregations of the indicators and the powerful method of formal concept analysis. Series: Environmental and Ecological Statistics. Num Pages: 338 pages, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 23. Weight in Grams: 557.
This book provides axioms of partial order and some basic material, for example consequences of “criss-crossing” of data profiles, the role of aggregations of the indicators and the powerful method of formal concept analysis. The interested reader will learn how to apply fuzzy methods in partial order analysis and what ‘antagonistic indicator’ means.
This book provides axioms of partial order and some basic material, for example consequences of “criss-crossing” of data profiles, the role of aggregations of the indicators and the powerful method of formal concept analysis. The interested reader will learn how to apply fuzzy methods in partial order analysis and what ‘antagonistic indicator’ means.
Product Details
Format
Paperback
Publication date
2013
Publisher
Springer United States
Number of pages
338
Condition
New
Series
Environmental and Ecological Statistics
Number of Pages
338
Place of Publication
New York, NY, United States
ISBN
9781461429685
SKU
V9781461429685
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Ranking and Prioritization for Multi-indicator Systems: Introduction to Partial Order Applications
From the reviews: “The main aim of the book is to introduce the modern tools and methodologies of the so-called partial order ranking for prioritization of objects by many different characteristics. … is addressed to graduate students and specialists in environmental, ecological, and other applied sciences requiring ordering and prioritization of many objects by numerous characteristics. … these new ... Read more