The management evaluation of animal welfare based on Triangular Fuzzy Number Analytic Hierarchy Process

Author

Zhao, Ying-Jie ; Jia, Jing-Bo ; Wu, Sha-Sha ; Yang, Yong ; Xie, Pei-Yan ; Zhai, Ming-Lu

Author_Institution

Northeast Forestry Univ., Harbin, China

fYear

2009

fDate

14-16 Sept. 2009

Firstpage

2190

Lastpage

2195

Abstract

This paper, based on the forty-three indicators of animal physiology welfare, including environmental welfare, health welfare, mental welfare and behavioral welfare , totally five aspects as the subject, established the evaluation model of animal welfare management in zoos, and used triangular fuzzy number analytic hierarchy process to draw the weights of various evaluation factors, the results indicates that physical welfare, environmental welfare, health welfare, mental welfare and behavioral welfare in the respective weights are 0.251,0.222,0.179,0.182,0.166; Through the applicated evaluation of the welfare in Heilongjiang Northeast Tiger Animals Garden, it indicates that Heilongjiang Northeast Tiger Garden of animal welfare is in good conditions and is in line with the actual situation, which illustrates this method can be used in evaluation of zoo animal welfare management.

Keywords

behavioural sciences; decision making; decision theory; environmental factors; fuzzy set theory; health care; number theory; physiology; public administration; zoology; Heilongjiang Northeast Tiger Animals Garden; analytic hierarchy process; behavioral welfare; environmental welfare; health welfare; mental welfare; triangular fuzzy number; zoo animal physiology welfare management; Animals; Area measurement; Biomedical monitoring; Conference management; Engineering management; Environmental management; Fuzzy systems; Pain; Psychology; Size measurement; AHP; animal welfare; management evaluation; triangular fuzzy number; weight;

fLanguage

English

Publisher

ieee

Conference_Titel

Management Science and Engineering, 2009. ICMSE 2009. International Conference on

Conference_Location

Moscow

Print_ISBN

978-1-4244-3970-6

Electronic_ISBN

978-1-4244-3971-3

Type

conf

DOI

10.1109/ICMSE.2009.5317616

Filename

5317616