Abstract
Environment assessment is a complex multiple attribute decision-making problem, which is an important component of environmental management. Environmental indices (EI) are very useful for environmental decision-making by policy makers and for maintaining well-informed public. Due to the uncertainty in process of the determination of EI, it is necessary to use a mathematical operator to aggregate various non-commensurate input parameters in a reasonable manner. In this paper, a new mathematic model of environmental indices based on fuzzy numbers power average operator is proposed. Firstly, the data collected from different sources are modeled as fuzzy numbers. Secondly, a method to transform fuzzy variables into basic probability assignments is developed based on the similarity measure between generalized fuzzy numbers. Then conflict data is efficiently combined based on the power average operator. At last, a real application to determine water quality indices is used to illustrate the efficiency of the proposed method.
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References
Arunraj NS, Maiti J (2009) Development of environmental consequence index (ECI) using fuzzy composite programming. J Hazard Mater 162:29–43
Bellenger MJ, Herlihy AT (2009) An economic approach to environmental indices. Ecol Econ 68:2216–2223
Chan FTS (2005) Application of a hybrid case-based reasoning approach in electroplating industry. Expert Syst Appl 29(1):121–130
Chan FTS, Au KC, Chan PLY (2006) A decision support system for production scheduling in an ion plating cell. Expert Syst Appl 30(4):727–738
Chan FTS, Kumar N (2007) Global supplier development considering risk factors using fuzzy extended AHP-based approach. Int J Syst Assur Eng Manag 35:417–431
Chan FTS, Chan HK (2011) Improving the productivity of order picking of a manual-pick and multi-level rack distribution warehouse through the implementation of class-based storage. Expert Syst Appl 383:2686–2700
Chen SJ, Chen SM (2003) Fuzzy risk analysis based on similarity measures of generalized fuzzy numbers. IEEE Trans Fuzzy Syst 11(1):45–56
Chen SM, Chen JH (2009) Fuzzy risk analysis based on ranking generalized fuzzy numbers with different heights and different spreads. Expert Syst Appl 36(3):6833–6842
Chen Z, Zhao L, Lee K (2010) Environmental risk assessment of offshore produced water discharges using a hybrid fuzzy-stochastic modeling approach. Environ Model Softw 25:782–792
Chen S, Deng Y, Wu J (2013) Fuzzy sensor fusion based on evidence theory and its application. Appl Artif Intell 27(3):235–248
Cheng CY, Qian X (2010) Evaluation of emergency planning for water pollution incidents in reservoir based on fuzzy comprehensive assessment. Procedia Environ Sci 2:566–670
Chiadamrong N (1999) An integrated fuzzy multi-criteria decision making method for manufacturing strategies selection. Comput Ind Eng 37(1):433–436
Debels P, Figueroa R, Urrutia R, Barra R, Niell X (2005) Evaluation of water quality in the Chillan River (Central Chile) using physicochemical parameters and a modified water quality index. Environ Monit Assess 110:301–322
Deng Y, Shi W (2003) Fuzzy sensor data fusion based on power average operator. J Shaihai Jiao Tong Univ 37(8):1279–1287
Deng Y, Shi W, Liu Q (2004) A new similarity measure of generalized fuzzy numbers and its application to pattern recognition. Pattern Recogn Lett 25:875–883
Deng Y, Liu Q (2005) A TOPSIS-based centroid-index ranking method of fuzzy numbers and its application in decision-making. Cybern Syst 36(6):581–595
Deng Y (2006) Plant location selection based on fuzzy TOPSIS. Int J Adv Manuf Technol 28(7–8):839–844
Deng Y, Chen FTS (2011) A new fuzzy dempster MCDM method and its application in supplier selection. Expert Syst Appl 38:9854–9861
Deng Y, Chen FTS, Wu Y, Wang D (2011) A new linguistic MCDM method based on multiple-criterion data fusion. Expert Syst Appl 38:6985–6993
Deng Y, Jiang W, Sadiq R (2011) Modeling contaminant intrusion in water distribution networks: a new similarity-based DST method. Expert Syst Appl 38(1):571–578
Deng Y, Chen Y, Zhang Y, Mahadevan S (2011) Fuzzy dijkstra algorithm for shortest path problem under uncertain environment. Appl Soft Comput 12(3):1231–1237
Deng Y, Chen Y, Zhang Y, Mahadevan S (2012) Fuzzy dijkstra algorithm for shortest path problem under uncertain environment. Appl Soft Comput 12(3):1231–1237
Deng X, Yong H, Deng Y (2014) Environmental impact assessment based on d numbers. Expert Syst Appl 41(2):635–643
Deng X, Yong H, Deng Y (2014) Supplier selection using ahp methodology extended by d numbers. Expert Syst Appl 41(1):156–167
Ebert U, Welsch H (2004) Meaningful environmental indices: a social choice approach. J Environ Econ Manag 47:270–283
Feng Z, Wang Q (2007) Research on health evaluation system of liquid-propellant rocket engine ground-testing bed based on fuzzy theory. Acta Astronaut 61(10):840–853
Fenton N, Wang W (2006) Risk and confidence analysis for fuzzy multicriteria decision making. Knowl-Based Syst 19(6):430–437
Gharibi H, Mahvi AH, Nabizadeh R, Arabalibeik H, Yunesian M, Sowlat MH (2012) A novel approach in water quality assessment based on fuzzy logic. J Environ Manag 112:87–95
Guettaf A, Benchabane F, Bahri M, Bennis O (2013) Torque ripple minimization in switched reluctance motor using the fuzzy logic control technique. Int J Syst Assur Eng Manag 1–7. doi:10.1007/s13198-014-0232-7
Gunasekera MY, Edwards DW (2003) Estimating the environmental impact of catastrophic chemical releases to the atmosphere: an index method for ranking alternative chemical process routes. Process Saf Environ Prot 81(6):463–474
Harmel RD, Smith DR, King KW, Slade RM (2009) Estimating storm discharge and water quality data uncertainty: a software tool for monitoring and modeling applications. Environ Model Softw 24:832–842
Hejazi SR, Doostparast A, Hosseini SM (2011) An improved fuzzy risk analysis based on a new similarity measures of generalized fuzzy numbers. Expert Syst Appl 38:9179–9185
Kang SM (2002) A sensitivity analysis of the Korean composite environmental index. Ecol Econ 43:159–174
Kang B, Deng Y, Sadiq R, Mahadevan S (2012) Evidential cognitive maps. Knowl-Based Syst 35:77–86
Khan FI, Sadiq R, Veitch B (2004) Life cycle iNdeX (LInX): a new indexing procedure for process and product design and decision-making. J Clean Prod 12(1):59–76
Khanna N (2000) Measuring environmental quality: an index of pollution. Ecol Econ 35:191–202
Kharal A (2009) Homeopathic drug selection using intuitionistic fuzzy sets. Homeopathy 98(1):35–39
Laala W, Zouzou S-E, Guedidi S (2013) Induction motor broken rotor bars detection using fuzzy logic: experimental research. Int J Syst Assur Eng Manag 1–8. doi:10.1007/s13198-013-0171-8
Lee LW, Chen SM (2008) Fuzzy risk analysis based on fuzzy numbers with different shapes and different deviations. Expert Syst Appl 34(4):2763–2771
Lee GH (2008) Rule-based and case-based reasoning approach for internal audit of bank. Knowl-Based Syst 21(2):140–147
Lee E, Park Y, Shin JG (2009) Large engineering project risk management using a bayesian belief network. Expert Syst Appl 36(3):5880–5887
Lermontov A, Yokoyama L, Lermontov M, Machado MAS (2009) River quality analysis using fuzzy water quality index: Ribeira do Iguape river watershed, Brazil. Ecol Indicat 9:1188–1197
Li DF (2010) Multiattribute decision making method based on generalized owa operators with intuitionistic fuzzy sets. Expert Syst Appl 37(12):8673–8678
Liu J, Chan FTS, Li Y, Zhang Y, Deng Y (2012) A new optimal consensus method with minimum cost in fuzzy group decision. Knowl-Based Syst 35:357–360
Liu Q, Xiong J, Deng Y (2008) A subjective methodology for risk quantification based on generalized fuzzy numbers. Int J Gen Syst 37(2):149–165
Lu RS, Lo SL (2002) Diagnosing reservoir water quality using self-organizing maps and fuzzy theory. Water Res 36(9):2265–2274
Lu HW, Huang GH, He L (2010) Development of an interval-valued fuzzy linear-programming method based on infinite \(\alpha\)-cuts for water resources management. Environ Model Softw 25:354–361
Meliadou A, Santoro F, Nader MR, Dagher MA, Al Indary S, Salloum BA (2012) Prioritising coastal zone management issues through fuzzy cognitive mapping approach. J Environ Manag 97:56–68
Mitra S, Pal SK (2005) Fuzzy sets in pattern recognition and machine intelligence. Fuzzy Sets Syst 156(3):381–386
Nasiri F, Huang G (2008) A fuzzy decision aid model for environmental performance assessment in waste recycling. Environ Model Softw 23:677–689
Ott WR (1978) Environmental indices: theory and practice. Ann Arbor Science Publishers, Ann Arbor
Padma T, Balasubramanie P (2009) Knowledge based decision support system to assist work-related risk analysis in musculoskeletal disorder. Knowl-Based Syst 22(1):72–78
Pan TC, Kao JJ (2009) Inter-generation equity for assessing environmental sustainablity: an example on global warming. Ecol Indic 9(4):725–731
Pedrycz W (1997) Fuzzy sets in pattern recognition: accomplishments and challenges. Fuzzy Sets Syst 90(2):171–176
Peneva V, Popchev I (2003) Properties of the aggregation operators related with fuzzy relations. Fuzzy Sets Syst 139:615–633
Pischke F, Cashmore M (2006) Decision-oriented environmental assessment: an empirical study of its theory and methods. Environ Impact Assess Rev 26(7):643–662
Prato T (2009) Adaptive management of natural systems using fuzzy logic. Environ Model Softw 24:940–944
Pusatli OT, Camur MZ, Yazicigil H (2009) Susceptibility indexing method for irrigation water management planning: applications to K. Menderes river basin, Turkey. J Environ Manag 90(1):341–347
Ragone A, Straccia U, Di Noia T, Di Sciascio E, Donini FM (2009) Fuzzy matchmaking in e-marketplaces of peer entities using Datalog. Fuzzy Sets Syst 160(2):251–268
Sadiq R, Khan FI, Veitch B (2005) Evaluating offshore technologies for produced water management using GreenPro-I a risk-based life cycle analysis for green and clean process selection and design. Comput Chem Eng 29:1023–1039
Sadiq R, Tesfamariam S (2007) Probability density functions based weights for ordered weighted averaging (OWA) operators: an example of water quality indices. Eur J Oper Res 182(3):1350–1368
Sadiq R, Tesfamariam S (2007) Ordered weighted averaging (OWA) operators for developing water quality indices using probabilistic density function. Eur J Oper Res 182:1350–1368
Sadiq R, Tesfamariam S (2008) Deveping environmental using fuzzy numbers ordered weighted averaging (FN-OWA) operators. Stoch Environ Res Risk Assess 22(4):495–505
Sadiq R, Rodríguez MJ, Tesfamariam S (2010) Integrating indicators for performance assessment of small water utilities using ordered weighted averaging (owa) operators. Expert Syst Appl 37(7):4881–4891
Sadiq R, Haji SA, Cool G, Rodriguez MJ (2010) Using penalty function to evaluate aggregation models for environmental indices. J Environ Manag 91:706–716
Sattler C, Stachow U, Berger G (2012) Expert knowledge-based assessment of farming practices for different biotic indicators using fuzzy logic. J Environ Manag 95(1):132–143
Silvert W (2000) Fuzzy indices of environmental conditions. Ecol Model 130(1):111–119
Silvert W (2000) Fuzzy indices of environmental conditions. Ecol Model 130:111–119
Siracusa G, La Rosa AD, Sterlini SE (2004) A new methodology to calculate the environmental index (Ep). A case study applied to a company producing composite materials. J Environ Manag 73:275–284
Smolkov R, Wachowiak MP (2002) Aggregation operators for selection problems. Fuzzy Sets Syst 131(1):23–34
Song T, Kim K (2009) Development of a water quality loading index based on water quality modeling. J Environ Manag 90:1534–1543
Swamee PK, Tyagi A (2000) Describing water quality with aggregation index. ASCE J Environ Eng 126(5):451–455
Wei SH, Chen SM (2009) A new approach for fuzzy risk analysis based on similarity measures of generalized fuzzy numbers. Expert Syst Appl 36(1):589–598
Wei D, Deng X, Zhang X, Deng Y, Mahadevan S (2013) Identifying influential nodes in weighted networks based on evidence theory. Phys A 392(10):2564–2575
Weiss M, Patel M, Heilmeier H, Bringezu S (2007) Applying distance-to-target weighing methodology to evaluate the environmental performance of bio-based energy, fuels, and materials. Resour Conserv Recycl 50(3):260–281
Xu Z (2011) Approaches to multiple attribute group decision making based on intuitionistic fuzzy power aggregation operators. Knowl-Based Syst 24(6):749–760
Yager RR (1988) On ordered weighted averaging aggregation in multicriteria decision making. IEEE Trans Syst Man Cybern B 18:183–190
Yager RR (2001) The power average operator. IEEE Trans Syst Man Cybern A 31(6):724–731
Yager RR (2010) Information. Prefer Decis Stud Fuzziness Soft Comput 257:397–414
Yejun X, Wang H (2011) Approaches based on 2-tuple linguistic power aggregation operators for multiple attribute group decision making under linguistic environment. Appl Soft Comput 11:3988–3997
Yuxian D, Mo H, Deng X, Sadiq R, Deng Y (2014) A new method in failure mode and effects analysis based on evidential reasoning. Int J Syst Assur Eng Manag 5(1):1–10
Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353
Zhang Y, Deng X, Wei D, Deng Y (2012) Assessment of e-commerce security using ahp and evidential reasoning. Expert Syst Appl 39(3):3611–3623
Zhang X, Deng Y, Chan FTS, Xu P, Mahadevan S, Hu Y (2013) Ifsjsp: a novel methodology for the job-shop scheduling problem based on intuitionistic fuzzy sets. Int J Prod Res 51(17):5100–5119
Acknowledgments
The author greatly appreciate the reviews’ suggestions. The work is partially supported by National Natural Science Foundation of China (Grant No. 61174022), Specialized Research Fund for the Doctoral Program of Higher Education (Grant No. 20131102130002), R&D Program of China (2012BAH07B01), National High Technology Research and Development Program of China (863 Program) (Grant No. 2013AA013801), the open funding project of State Key Laboratory of Virtual Reality Technology and Systems, Beihang University (Grant No. BUAA-VR-14KF-02).
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Cao, L., Li, M., Sadiq, R. et al. Developing environmental indices using fuzzy numbers power average (FN-PA) operator. Int J Syst Assur Eng Manag 6, 139–149 (2015). https://doi.org/10.1007/s13198-014-0257-y
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DOI: https://doi.org/10.1007/s13198-014-0257-y