Comparative knowledge discovery with partial orders and composite indicators: Multi-indicator systemic ranking, advocacy, and reconciliation

Multi-indicator Systems and Modelling in Partial Order

Volumn 9781461482239, Issue , 2014, Pages 107-146

  Patil, Ganapati P ^a   Joshi, S W ^b  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b SLIPPERY ROCK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84929675143     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4614-8223-9_6     Document Type: Chapter

References (8)

1. Aho AV, Hopcroft JE, Ullmann JD (1983) Data structures and algorithms. Addison-Wesley, Reading, MA, 427 pp
2. Brüggemann R, Patil GP (2011) Ranking and prioritization with multi-indicator systems, introduction to partial order and its applications. Springer, New York, NY, 337 pp
3. Brüggemann R, Schwaiger J, Negele RD (1995) Applying Hasse diagram technique for the evaluation of toxicological fish tests. Chemosphere 30(9):1767-1780
4. Bubley R, Dyer M (1999) Faster random generation of linear extensions. Discrete Math 201:81-88
5. Grunbaum B (1967) Convex polytopes. Wiley, New York, NY, 456 pp
6. Patil GP, Taillie C (2004) Multiple indicators, partially ordered sets, and linear extensions: multi-criteria ranking and prioritization. Environ Ecol Stat 11:199-228
7. Patil and Tailie (2004) Geo-informatic hotspot systems (GHS) for detection, prioritization, and early warning. In: Proceedings of the national conference on digital government research 2005, DGRC
8. Winkler P (1982) Average height in a partially ordered set. Discrete Math 39:337-341