Share:


The evaluation of ecosystem health based on hybrid TODIM method for Chinese case

    Peide Liu Affiliation
    ; Lili Rong Affiliation
    ; Fei Teng Affiliation

Abstract

The health evaluation of urban ecosystem is the need of urban sustainable development and the construction of urban ecological civilization, in order to scientifically evaluate the ecosystem health, in this paper, we establish the mathematical model based on hybrid multiple attributes decision-making. Firstly, we introduce the original city ecosystem health evaluation indexes which reflect on Vitality, Composition Structure, Recovery Capacity, The Ecological System Continually Offering Service Function, Population Health and Ecosystem Cognition ecosystem health. Then in order to obtain the reasonable weights, we integrate the subjective weights by linguistic AHP method and objective weights by deviation maximization method, and get the combined weights for city ecosystem health evaluation indexes. Further, according to the characteristics of the different indexes, we propose an extended TODIM method to evaluate the city ecosystem health in which the indexes take the form of real number, interval number, and probabilistic linguistic term set. Moreover, with respect to the evaluation values of city ecosystem health in Jinan from 2011 to 2015, this paper evaluates the health status of Jinan ecological system, and analyzes the role of various indicators in the process of city ecological development. Result shows that: (1) Jinan ecosystem health status remained at the sub-health state from 2011 to 2015, and the ecological situation is not optimistic. (2) Prominent problems restricting are lack of investment in environmental protection efforts, increasing pollutant emissions, and imperfect industrial structure. To solve the problems in the healthy development of Jinan urban ecosystem, this paper puts forward corresponding countermeasures and suggestions to improve the healthy development of urban ecosystem.


 First published online 17 April 2019

Keyword : urban ecosystem health, extended TODIM method, hybrid information, combined weighted method

How to Cite
Liu, P., Rong, L., & Teng, F. (2019). The evaluation of ecosystem health based on hybrid TODIM method for Chinese case. Technological and Economic Development of Economy, 25(3), 542-570. https://doi.org/10.3846/tede.2019.8021
Published in Issue
Apr 17, 2019
Abstract Views
1238
PDF Downloads
744
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Bayram, A., Önsoy, H., Bulut, V. N., & Akinci, G. (2013). Influences of urban wastewaters on the stream water quality: a case study from Gumushane Province. Turkey, Environmental Monitoring and Assessment, 185(2), 1285-1303. https://doi.org/10.1007/s10661-012-2632-y

Bell, M. L., Cifuentes, L. A., Davis, D. L., Cushing, E., Telles, A. G., & Gouveia, N. (2011). Environmental health indicators and a case study of air pollution in Latin American cities. Environmental Research, 111(1), 57-66. https://doi.org/10.1016/j.envres.2010.10.005

Berberoglu, S. (2003). Sustainable management for the eastern Mediterranean coast of Turkey. Environmental Management, 31(3), 0442-0451.

Brevik, E. C., Pereg, L., Pereira, P., Steffan, J. J., Burgess, L. C., & Gedeon, C. I. (2019). Shelter, clothing, and fuel: Often overlooked links between soils, ecosystem services, and human health. Science of the Total Environment, 651, 134-142. https://doi.org/10.1016/j.scitotenv.2018.09.158

Brussard, P. F., Reed, J. M., & Tracy, C. R. (1998). Ecosystem management: what is it really? Landscape and Urban Planning, 40(1), 9-20. https://doi.org/10.1016/S0169-2046(97)00094-7

Derkzen, M. L., Teeffelen, A. J., & Verburg, P. H. (2015). Quantifying urban ecosystem services based on high-resolution data of urban green space: an assessment for Rotterdam, the Netherlands. Journal of Applied Ecology, 52(4), 1020-1032. https://doi.org/10.1111/1365-2664.12469

Dou, X., Li, S., & Wang, J. (2013). Ecological strategy of city sustainable development. APCBEE Procedia, 5, 429-434. https://doi.org/10.1016/j.apcbee.2013.05.074

du Preez, G. C., Daneel, M. S., Wepener, V., & Fourie, H. (2018). Beneficial nematodes as bioindicators of ecosystem health in irrigated soils. Applied Soil Ecology, 132, 155-168. https://doi.org/10.1016/j.apsoil.2018.08.008

Fan, Z. P., Zhang, X., Chen, F. D., & Liu, Y. (2013). Extended TODIM method for hybrid multiple attribute decision making problems. Knowledge-Based Systems, 42(2), 40-48. https://doi.org/10.1016/j.knosys.2012.12.014

Gentile, J. H., Harwell, M. A., Jr, W. C., Harwell, C. C., Deangelis, D., Davis, S., et al. (2001). Ecological conceptual models: a framework and case study on ecosystem management for south Florida sustainability. Science of the Total Environment, 274(1-3), 231-253. https://doi.org/10.1016/S0048-9697(01)00746-X

Gomes, L. F. A. M., & Lima, M. M. P. P. (1991). TODIM: basics and application to multicriteria ranking of projects with environmental impacts. Foundations of Computing and Decision Sciences, 16(4), 113-127.

Gomes, L. F. A. M., & Rangel, L. A. D. (2009). An application of the TODIM method to the multicriteria rental evaluation of residential properties. European Journal of Operational Research, 193(1), 204-211. https://doi.org/10.1016/j.ejor.2007.10.046

Guan, H. J., Sun, W. K., & Zhao, A. W. (2016). Hybrid MADM based on the Extended VIKOR method and its application to ecosystem health evaluation. Journal of Residuals Science & Technology, 13(8), 113.1-113.8.

Haeuber, R. (1998). Ecosystem management and environmental policy in the united states: open window or closed door? Landscape and Urban Planning, 40(1-3), 221-233. https://doi.org/10.1016/S0169-2046(97)00115-1

He, Y., Hao, J. Y., He, W., Lam, K. C., & Xu, F. L. (2019). Spatiotemporal variations of aquatic ecosystem health status in Tolo Harbor, Hong Kong from 1986 to 2014. Ecological Indicators, 100, 20-29. https://doi.org/10.1016/j.ecolind.2018.04.056

Huang, J., Li, Z., & Liu, H. C. (2017). New approach for failure mode and effect analysis using linguistic distribution assessments and TODIM method. Reliability Engineering & System Safety, 167, 302-309. https://doi.org/10.1016/j.ress.2017.06.014

Huang, Y. H., & Wei, G. W. (2018). TODIM method for Pythagorean 2-tuple linguistic multiple attribute decision making. Journal of Intelligent & Fuzzy Systems, 35(1), 901-915. https://doi.org/10.3233/JIFS-171636

Jiang, Y., Liang, X., & Liang, H. (2017). An I-TODIM method for multi-attribute decision making with interval numbers. Soft Computing, 21(18), 5489-5506. https://doi.org/10.1007/s00500-016-2139-5

Lackey, R. T. (1998). Seven pillars of ecosystem management 1. Landscape and Urban Planning, 40(1-3), 21-30. https://doi.org/10.1016/S0169-2046(97)00095-9

Li, F., Ye, Y., Song, B., & Wang, R. (2014). Evaluation of urban suitable ecological land based on the minimum cumulative resistance model: a case study from Changzhou, China. Ecological Modelling, 318(1), 194-203.

Li, Y., & Liu, P. (2015). Some Heronian mean operators with 2-tuple linguistic information and their application to multiple attribute group decision making. Technological and Economic Development of Economy, 21(5), 797-814. https://doi.org/10.3846/20294913.2015.1055614

Liu, G. Y., Yang, Z. F., Chen, B., Zhang, Y., Zhang, L. X., Zhao, Y. W., & Jiang, M. M. (2009). Emergy-based urban ecosystem health assessment: A case study of Baotou, China. Communications in Nonlinear Science & Numerical Simulation, 14(3), 972-981. https://doi.org/10.1016/j.cnsns.2007.09.017

Liu, P. (2009). Study on evaluation methods and application of enterprise informatization level based on fuzzy multi-attribute decision making (PhD Thesis). Beijing Jiaotong University, China.

Liu, P. (2017). Multiple attribute group decision making method based on interval-valued intuitionistic fuzzy power Heronian aggregation operators. Computers & Industrial Engineering, 108, 199-212. https://doi.org/10.1016/j.cie.2017.04.033

Liu, P., & Chen, S. M. (2017). Group decision making based on Heronian aggregation operators of intuitionistic fuzzy numbers. IEEE Transactions on Cybernetics, 47(9), 2514-2530. https://doi.org/10.1109/TCYB.2016.2634599

Liu, P., & Chen, S. M. (2018). Multiattribute group decision making based on intuitionistic 2-Tuple linguistic information. Information Sciences, 430-431, 599-619. https://doi.org/10.1016/j.ins.2017.11.059

Liu, P., Chen, S. M., & Liu, J. (2017a). Some intuitionistic fuzzy interaction partitioned Bonferroni mean operators and their application to multi-attribute group decision making. Information Sciences, 411, 98-121. https://doi.org/10.1016/j.ins.2017.05.016

Liu, P., & Li, H. (2017). Interval-valued intuitionistic fuzzy power Bonferroni aggregation operators and their application to group decision making. Cognitive Computation, 9(4), 494-512. https://doi.org/10.1007/s12559-017-9453-9

Liu, P., Liu, J., & Chen, S. M. (2018a). Some intuitionistic fuzzy dombi bonferroni mean operators and their application to multi-attribute group decision making. Journal of the Operational Research Society, 69(1), 1-24. https://doi.org/10.1057/s41274-017-0190-y

Liu, P., Liu, J., & Merigó, J. M. (2018b). Partitioned Heronian means based on linguistic intuitionistic fuzzy numbers for dealing with multi-attribute group decision making. Applied Soft Computing, 62, 395-422. https://doi.org/10.1016/j.asoc.2017.10.017

Liu, P., Teng, F., Chu, Y., & Guan, H. (2017b). Health evaluation of urban ecosystem in Shandong Province. China University of Petroleum press.

Liu, P., & Wang, P. (2018). Some q-Rung orthopair fuzzy aggregation operators and their applications to multiple-attribute decision making. International Journal of Intelligent Systems, 33(2), 259-280. https://doi.org/10.1002/int.21927

Llamazares, B. (2018). An analysis of the generalized TODIM method. European Journal of Operational Research, 269(3), 1041-1049. https://doi.org/10.1016/j.ejor.2018.02.054

Lourenzutti, R., Krohling, R. A., & Reformat, M. Z. (2017). Choquet based TOPSIS and TODIM for dynamic and heterogeneous decision making with criteria interaction. Information Sciences, 408, 41-69. https://doi.org/10.1016/j.ins.2017.04.037

Mahdi, A., Hosseini, A., Pourahmad, A., & Hataminejad, H. (2016). Analysis of effective environmental factors an urban health, a case study of Qom, Iran. Habitat International, 55, 89-99. https://doi.org/10.1016/j.habitatint.2016.03.001

Mishra, A. R., & Rani, P. (2018). Biparametric information measures-based TODIM technique for interval-valued intuitionistic fuzzy environment. Arabian Journal for Science and Engineering, 43(6), 3291-3309. https://doi.org/10.1007/s13369-018-3069-6

Noss, R. F. (2000). High-risk ecosystems as foci for considering biodiversity and ecological integrity in ecological risk assessments. Environmental Science & Policy, 3(6), 321-332. https://doi.org/10.1016/S1462-9011(00)00112-X

Pang, Q., Wang, H., & Xu, Z. (2016). Probabilistic linguistic term sets in multi-attribute group decision making. Information Sciences, 369, 128-143. https://doi.org/10.1016/j.ins.2016.06.021

Pereira, J. (2013). Robustness analysis in a TODIM-based multicriteria evaluation model of rental properties. Technological & Economic Development of Economy, 19(sup1), S176-S190.

Salomon, V. A. P., & Rangel, L. A. D. (2015). Comparing rankings from using TODIM and a fuzzy expert system. Procedia Computer Science, 55, 126-138. https://doi.org/10.1016/j.procs.2015.07.019

Spiegel, J. M., Bonet, M., Yassi, A., Molina, E., Concepcion, M., & Mast, P. (2001). Developing ecosystem health indicators in Centro Habana: a community-based approach. Ecosystem Health, 7(1), 15-26. https://doi.org/10.1046/j.1526-0992.2001.007001015.x

van Heezik, Y., & Brymer, E. (2018). Nature as a commodity: what’s good for human health might not be good for ecosystem health. Frontiers in Psychology, 9, 1-16. https://doi.org/10.3389/fpsyg.2018.01673

Wu, Y. N., Wang, J., Hu, Y., Ke, Y. M., & Li, L. W. Y. (2018). An extended TODIM-PROMETHEE method for waste-to-energy plant site selection based on sustainability perspective. Energy, 156, 1-16. https://doi.org/10.1016/j.energy.2018.05.087