Assessment of the environmental comfort of lactating sows via improved analytic hierarchy process and fuzzy comprehensive evaluation
Keywords:
lactating sow house, environmental comfort, analytic hierarchy process, fuzzy comprehensive evaluation, assessmentAbstract
Since there are many interacting influence factors of the comfortable degree of lactating sows, a method that combines improved analytic hierarchy process (IAHP) and fuzzy comprehensive evaluation (FCE) was introduced to conduct a quantitative evaluation of the comfortable degree. Besides, an evaluation index system was established, and the weights of different indicators were determined by using IAHP method, including temperature, relative humidity, concentrations of carbon dioxide (CO2), ammonia (NH3), hydrogen sulfide (H2S), and air speed. The construction method of fuzzy membership function and the calculation method of the parameters were proposed following the principle that the summation of membership degrees is equal to 1. Three basic types of membership functions (MFs), i.e., ridgemf, gaussmf, and trimf were used to build an evaluation model which fitted IAHP-FCE well. The proposed method was verified and applied based on the environmental data in different seasons obtained from a pig farm in Zhenjiang City, Jiangsu Province, China. It is demonstrated that the proposed IAHP-FCE model with various types of MFs has drawn a unique and consistent conclusion. Moreover, the IAHP-FCE model has a higher correlation coefficient of 0.874 compared with the single-factor evaluation (SFE) model. The IAHP-FCE model could be served as a beneficial strategy for the precise regulation and early warning of environmental conditions to improve sow welfare. Keywords: lactating sow house, environmental comfort, analytic hierarchy process, fuzzy comprehensive evaluation, assessment DOI: 10.25165/j.ijabe.20221502.6149 Citation: Chen C, Liu X Q, Duan W Y, Liu C J. Assessment of the environmental comfort of lactating sows via improved analytic hierarchy process and fuzzy comprehensive evaluation. Int J Agric & Biol Eng, 2022; 15(2): 58–67.References
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[2] Sales G T, Fialho E T, Junior T Y, de Fretias R T F, Teixeira V H, Gates R, et al. Thermal environment influence on swine reproductive performance. In: Livestock Environment Viii, Proceedings of the 31 August - 4 September 2008 Conference, Iguassu Falls, Brazil: ASABE, 2008; pp.767–772. doi: 10.13031/2013.25582.
[3] Daniel S, Bartaria Dr V N. Review of factors affecting indoor thermal environment for achieving thermal comfort. International Journal of Emerging Technology, 2014; 5(2): 130–135.
[4] Quiniou N, Noblet J. Influence of high ambient temperatures on performance of multiparous lactating sows. Journal of Animal Science, 1999; 77(8): 2124–2134.
[5] Renaudeau D, Quiniou N, Noblet J. Effects of exposure to high ambient temperature and dietary protein level on performance of multiparous lactating sows. Journal of Animal Science, 2001; 79(5): 1240–1249.
[6] Rosero D S, Heugten E V, Odle J, Cabrera R, Arellano C, Boyd R D.
Sow and litter response to supplemental dietary fat in lactation diets during high ambient temperatures. Journal of Animal Science, 2012; 90(2): 550–559.
[7] Williams A M, Safranski T J, Spiers D E, Eichen P A, Coate E A, Lucy M C. Effects of a controlled heat stress during late gestation, lactation, and after weaning on thermoregulation, metabolism, and reproduction of primiparous sows. Journal of Animal Science, 2013; 91(6): 2700–2714.
[8] Chang C W, Chung H, Huang C F, Su H J J. Exposure assessment to airborne endotoxin, dust, ammonia, hydrogen sulfide and carbon dioxide in open style swine houses. The Annals of Occupational Hygiene, 2001; 45(6): 457–465.
[9] Harmon J D, Xin H W. Livestock industry facilities and environment: Health hazards in swine confinement housing: How bad is it? USA: Agriculture and Environment Extension Publications, 1995; 2p.
[10] Ji H F, Zhang D Y, Shan D C, Wang S X, Huang J G, Lyu L J, et al. GB/T 17824.3-2008. Environmental parameters and Environmental management for intensive pig farm. Beijing: China Standard Press, 2008.
[11] Ni J Q. Research and demonstration to improve air quality for the U.S. animal feeding operations in the 21st century-A critical review. Environmental Pollution, 2015; 200: 105–119.
[12] Saaty T L. The analytic hierarchy process. New York: McGraw-Hill, 1980; 287p.
[13] Xie Q J, Su Z B, Ni J Q, Zheng P, Yan L. Fuzzy synthetic assessment of swine house environmental adaptability. Transactions of the CSAE, 2016; 32(16): 198–205. (in Chinese)
[14] Xie Q J, Ni J Q, Su Z B. Fuzzy comprehensive evaluation of multiple environmental factors for swine building assessment and control. Journal of Hazardous Materials, 2017; 340: 463–471.
[15] Leephakpreeda T. Grey prediction on indoor comfort temperature for HVAC systems. Expert systems with applications, 2008; 34(4): 2284–2289.
[16] Eder B, Bash J, Foley K, Pleim J. Incorporating principal component analysis into air quality model evaluation. Atmospheric Environment, 2014; 82: 307–315.
[17] Li H L, Li M, Zhan K, Liu X W, Yang X J, Hu Z L, Guo P P. Construction method and performance test of prediction model for laying hen breeding environmental quality evaluation. Smart Agriculture, 2020; 2(3): 37–47.
[18] Donato J M, Barbieri E. Mathematical representation of fuzzy membership functions. In: Proceedings of the Twenty-Seventh Southeastern Symposium on System Theory, Starkville, USA: IEEE, 1995; pp.290–294. doi: 10.1109/SSST.1995.390567.
[19] Wu X L, Hu F. Analysis of ecological carrying capacity using a fuzzy comprehensive evaluation method. Ecological Indicators, 2020; 113:106243. doi: 10.1016/j.ecolind.2020.106243.
[20] Zhang Y, Wang R H, Huang P F, Wang X, Wang S. Risk evaluation of large-scale seawater desalination projects based on an integrated fuzzy comprehensive evaluation and analytic hierarchy process method. Desalination, 2020; 478:114286. doi: 10.1016/j.desal.2019.114286.
[21] Guo T, Tang S, Sun J, Gong F, Liu X, Qu Z, et al. A coupled thermal-hydraulic-mechanical modeling and evaluation of geothermal extraction in the enhanced geothermal system based on analytic hierarchy process and fuzzy comprehensive evaluation. Applied Energy, 2020; 258: 113981. doi: 10.1016/j.apenergy.2019.113981.
[22] Su Y H, He M C, Sun X M. Equivalent characteristic of membership function type in rock mass fuzzy classification. Journal of University of Science and Technology Beijing, 2007; 29(7): 670–675. (in Chinese).
[23] Zhang H. Research on control strategy of double local-fans monitoring system based on DSP. International Journal of Education and Management Engineering, 2011; 1(6): 39–42.
[24] Gao H, Yuan X, Jiang L, Wang J, Zang J. Review of environmental parameters in pig House. Scientia Agricultura Sinica, 2018; 51(16): 3226–3236. (in Chinese)
[25] Weng C L, Dong C X. Effect of heat stress on reproductive performance of swine and its countermeasures. China Swine Industry, 2013; 6: 38–40. (in Chinese)
[26] Li Z X, Mao X H. Environmental influence on the pig breeding production. Animal Health in China, 2010; 10: 44–46. (in Chinese)
[27] Sambariya D K, Prasad R. Selection of membership functions based on fuzzy rules to design an efficient power system stabilizer. International Journal of Fuzzy System, 2017; 19(3): 813–828.
[28] Li W X, Zhang X X, Wu B, Sun S L, Chen Y S, Pan W Y, et al. A comparative analysis of environmental quality assessment methods for heavy metal-contaminated soils. Pedosphere, 2008; 18(3): 344–352.
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Published
2022-04-23
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Chen, C., Liu, X., Duan, W., & Liu, C. (2022). Assessment of the environmental comfort of lactating sows via improved analytic hierarchy process and fuzzy comprehensive evaluation. International Journal of Agricultural and Biological Engineering, 15(2), 58–67. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/6149
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