A NOVEL SORTING METHOD TOPSIS-SORT: AN APPLICATION FOR TEHRAN ENVIRONMENTAL QUALITY EVALUATION

Simple item page
dc.contributor.authorFaraji Sabokbar, Hassanali
dc.contributor.authorHosseini, Ali
dc.contributor.authorBanaitis, Audrius
dc.contributor.authorBanaitiene, Nerija
dc.contributor.otherEkonomická fakultacs
dc.date.accessioned2022-07-29T07:54:24Z
dc.date.available2022-07-29T07:54:24Z
dc.description.abstractMany real-life problems are multi-objective by nature that requires evaluation of more than one criterion, therefore MCDM has become an important issue. In recent years, many MCDM methods have been developed; the existing approaches have been improved and extended. Multi criteria decision analysis has been regarded as a suitable set of methods to perform sustainability evaluations. Among numerous MCDM methods developed to solve real-life decision problems, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) continues to work satisfactorily in diverse application areas. In this paper, a novel sorting method (TOPSIS-Sort) based on the classic TOPSIS method is presented. In the TOPSIS-Sort approach an outranking relation is used for sorting purposes. The proposed approach uses characteristic profi les for defi ning the classes and outranking relation as the preference model. Application of the proposed approach is demonstrated by classifying 22 districts of Tehran into fi ve classes (but none of the districts fi ts into Classes 4 and 5), representing areas with different levels of environmental quality. An analysis and assessment of the environmental conditions in Tehran helps to identify the districts with the poor environmental quality. Priority should be given to these areas to maintain and improve the quality of environment. The results obtained by the TOPSIS-Sort give credence to its success, because the results of sorting confi rm our and specialists’ evaluation of the districts. This research provides appropriate results with respect to the development of sorting models in the form of outranking relations. The model, proposed by this study, is applicable to the other outranking methods such as ELECTRE, PROMETHEE, etc.en
dc.formattext
dc.format.extent18 strancs
dc.identifier.doi10.15240/tul/001/2016-2-006
dc.identifier.eissn2336-5604
dc.identifier.issn12123609
dc.identifier.urihttps://dspace.tul.cz/handle/15240/165973
dc.language.isoen
dc.publisherTechnická Univerzita v Libercics
dc.publisherTechnical university of Liberec, Czech Republicen
dc.publisher.abbreviationTUL
dc.relation.isbasedon24.com. (2015). Iran closes capital’s schools due to air pollution. News24. Retrieved December 22, 2015, from http://www.news24. com/Green/News/iran-closes-capitals-schoolsdue- to-air-pollution-20151219.
dc.relation.isbasedonAbraham, A., Sommerhalder, K., & Abel, T. (2010). Landscape and well-being: a scoping study on the health-promoting impact of outdoor environments. International Journal of Public Health, 55(1), 56-59. doi:10.1007/s00038-009- 0069-z.
dc.relation.isbasedonAghajani Mir, M., Taherei Ghazvinei, P., Sulaiman, N.M.N., Basri, N.E.A., Saheri, S., Mahmood, N.Z., Jahan, A., Begum, R.A., & Aghamohammadi, N. (2016). Application of TOPSIS and VIKOR improved versions in a multi criteria decision analysis to develop an optimized municipal solid waste management model. Journal of Environmental Management, 166(15), 109-115. doi:10.1016/j.jenvman.2015.09.028.
dc.relation.isbasedonAhmadi, Z., Dehaghi, M.R., Meybodi, M.E., Goodarzi, M., & Aghajani, M. (2014). Pollution levels in Iranian economy sectors using inputoutput analysis and TOPSIS technique: An approach to sustainable development. Procedia - Social and Behavioral Sciences, 141(25), 1363-1368. doi:10.1016/j.sbspro.2014.05.235.
dc.relation.isbasedonAraz, C., & Ozkarahan, I. (2005). A multicriteria sorting procedure for fi nancial classifi cation problems: The case of business failure risk assessment. In M. Gallagher, J. Hogan, & F. Maire (Eds.), Intelligent Data Engineering And Automated Learning – IDEAL 2005, LNCS, 3578 (pp. 563-570). Berlin, Heidelberg: Springer. doi:10.1007/11508069_73.
dc.relation.isbasedonAshtiani, B., Haghighirad, F., Makui, A., & Montazer, G.A. (2009). Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets. Applied Soft Computing, 9(2), 457-461. doi:10.1016/j.asoc.2008.05.005.
dc.relation.isbasedonAwasthi, A., & Chauhan, S.S. (2012). A hybrid approach integrating Affi nity Diagram, AHP and fuzzy TOPSIS for sustainable city logistics planning. Applied Mathematical Modelling, 36(2), 573-584. doi:10.1016/j. apm.2011.07.033.
dc.relation.isbasedonAwasthi, A., Chauhan, S.S., & Omrani, H. (2011). Application of fuzzy TOPSIS in evaluating sustainable transportation systems. Expert Systems with Applications, 38(10), 12270-12280. doi:10.1016/j.eswa.2011.04.005.
dc.relation.isbasedonBao, Q., Ruan, D., Shen, Y., Hermans, E., & Janssens, D. (2012). Improved hierarchical fuzzy TOPSIS for road safety performance evaluation. Knowledge-Based Systems, 32, 84- 90. doi:10.1016/j.knosys.2011.08.014.
dc.relation.isbasedonBehzadian, M., Otaghsara, S.K., Yazdani, M., & Ignatius, J. (2012). A state-of the-art survey of TOPSIS applications. Expert Systems with Applications, 39(17), 13051-13069. doi:10.1016/j.eswa.2012.05.056.
dc.relation.isbasedonBelton, S., & Stewart, T.S. (2002). Multiple criteria decision analysis: An integrated approach. Boston, MA: Kluwer Academic Publishers. doi:10.1007/978-1-4615-1495-4.
dc.relation.isbasedonBilbao-Terol, A., Arenas-Parra, M., Cañal- Fernández, V., & Antomil-Ibias, J. (2014). Using TOPSIS for assessing the sustainability of government bond funds. Omega, 49, 1-17. doi:10.1016/j.omega.2014.04.005.
dc.relation.isbasedonBouyssou, D., & Marchant, T. (2007a). An axiomatic approach to noncompensatory sorting methods in MCDM, I: The case of two categories. European Journal of Operational Research, 178(1), 217-245. doi:10.1016/j. ejor.2006.01.027.
dc.relation.isbasedonBouyssou, D., & Marchant, T. (2007b). An axiomatic approach to noncompensatory sorting methods in MCDM, II: More than two categories. European Journal of Operational Research, 178(1), 246-276. doi:10.1016/j. ejor.2006.01.033.
dc.relation.isbasedonBouyssou, D., & Marchant, T. (2015). On the relations between ELECTRE TRI-B and ELECTRE TRI-C and on a new variant of ELECTRE TRI-B. European Journal of Operational Research, 242(1), 201-211. doi:10.1016/j.ejor.2014.09.057.
dc.relation.isbasedonBrans, J.-P., & Vincke, P. (1985). Note - A preference ranking organisation method. Management Science, 31(6), 647-656. doi:10.1287/mnsc.31.6.647.
dc.relation.isbasedonBrito, A.J., de Almeida, A.T., & Mota, C.M.M. (2010). A multicriteria model for risk sorting of natural gas pipelines based on ELECTRE TRI integrating Utility Theory. European Journal of Operational Research, 200(3), 812-821. doi:10.1016/j.ejor.2009.01.016.
dc.relation.isbasedonCarlsson, C., & Fuller, R. (1996). Fuzzy multiple criteria decision making: Recent developments. Fuzzy Sets and Systems, 78, 139-153. doi:10.1016/0165-0114(95)00165-4.
dc.relation.isbasedonChen, M.-F., & Tzeng, G.-H. (2004). Combining grey relation and TOPSIS concepts for selecting an expatriate host country. Mathematical and Computer Modelling, 40(13), 1473-1490. doi:10.1016/j.mcm.2005.01.006.
dc.relation.isbasedonChen, T.-Y. (2015). The inclusionbased TOPSIS method with interval-valued intuitionistic fuzzy sets for multiple criteria group decision making. Applied Soft Computing, 26, 57-73. doi:10.1016/j.asoc.2014.09.015.
dc.relation.isbasedonChen, T.-Y., & Tsao, C.-Y. (2008). The interval-valued fuzzy TOPSIS method and experimental analysis. Fuzzy Sets and Systems, 159(11), 1410-1428. doi:10.1016/j. fss.2007.11.004.
dc.relation.isbasedonChen, Y., Li, K.W., & Liu, S.-f. (2011). An OWA-TOPSIS method for multiple criteria decision analysis. Expert Systems with Applications, 38(5), 5205-5211. doi:10.1016/j. eswa.2010.10.039.
dc.relation.isbasedonde Vries, S., Verheij, R.A., Groenewegen, P.P., & Spreeuwenberg, P. (2003). Natural environmentshealthy environments? An exploratory analysis of the relationship between greenspace and health. Environment and Planning A, 35(10), 1717-1732. doi:10.1068/a35111.
dc.relation.isbasedonDoumpos, M., & Zopounidis, C. (2002). Multicriteria decision aid classifi cation methods, Applied Optimization, 73. New York, NY: Springer. doi:10.1007/b101986.
dc.relation.isbasedonDymova, L., Sevastjanov, P., & Tikhonenko, A. (2013). A direct interval extension of TOPSIS method. Expert Systems with Applications, 40(12), 4841-4847. doi:10.1016/j. eswa.2013.02.022.
dc.relation.isbasedonEbrahimzadeh, I., Maleki, S., & Hatami, D. (2013). Analysis of urban green space distribution and better organization of space and place it: case study of the region two of Izeh city, Iran. Indian Journal of Scientifi c Research, 4(2), 23-26.
dc.relation.isbasedonECOTEC (2008). The economic benefi ts of Green Infrastructure: the public and business case for investing in Green Infrastructure and a review of the underpinning evidence, Report for Natural Economy Northwest (NENW). ECOTEC Research and Consulting. Retrieved November 10, 2015, from http://www.forestry.gov.uk/ pdf/nweeconomicbenefitsofgiinvestigating. pdf/$FILE/nweeconomicbenefitsofgi investigating.pdf.
dc.relation.isbasedonFernandez, E., Navarro, J., & Bernal, S. (2010). Handling multicriteria preferences in cluster analysis. European Journal of Operational Research, 202(3), 819-827. doi:10.1016/j.ejor.2009.05.034.
dc.relation.isbasedonFigueira, J., Greco, S., & Ehrgott, M. (Eds.). (2005). Multiple criteria decision analysis: State of the art surveys. New York, NY: Springer. doi:10.1007/b100605.
dc.relation.isbasedonGiove, S. (2002). Interval TOPSIS for multicriteria decision making. In M. Marinaro, R. Tagliaferri (Eds.), Neural Nets, LNCS, 2486 (pp. 56-63). Berlin, Heidelberg: Springer. doi:10.1007/3-540-45808-5_5.
dc.relation.isbasedonGreco, S., Ehrgott, M., & Figueira, J.R. (Eds.). (2010). Trends in multiple criteria decision analysis. New York, NY: Springer. doi:10.1007/978-1-4419-5904-1.
dc.relation.isbasedonHwang, C.L., & Yoon, K.L. (1981). Multiple attribute decision making: Methods and applications. A State-of-the-art survey, LNEMS, 186. Berlin: Springer-Verlag. doi:10.1007/978- 3-642-48318-9.
dc.relation.isbasedonIshizaka, A., & Nemery, P. (2014). Assigning machines to incomparable maintenance strategies with ELECTRE-SORT. Omega, 47, 45-59. doi:10.1016/j.omega.2014.03.006.
dc.relation.isbasedonJahanshahloo, G.R., Hosseinzadeh Lotfi , F., & Izadikhah, M. (2006). An algorithmic method to extend TOPSIS for decisionmaking problems with interval data. Applied Mathematics and Computation, 175(2), 1375- 1384. doi:10.1016/j.amc.2005.08.048.
dc.relation.isbasedonJanssen, P., & Nemery, P. (2013). An extension of the FlowSort sorting method to deal with imprecision. 4OR, 11(2), 171-193. doi:10.1007/s10288-012-0219-7.
dc.relation.isbasedonJia, J., Fan, Y., & Guo, X. (2012). The low carbon development (LCD) levels’ evaluation of the world’s 47 countries (areas) by combining the FAHP with the TOPSIS method. Expert Systems with Applications, 39(7), 6628-6640. doi:10.1016/j.eswa.2011.12.039.
dc.relation.isbasedonJiang, J., Chen, Y.-W., Chen, Y.-W., & Yang, K.-W. (2011). TOPSIS with fuzzy belief structure for group belief multiple criteria decision making. Expert Systems with Applications, 38(8), 9400- 9406. doi:10.1016/j.eswa.2011.01.128.
dc.relation.isbasedonJiang, J., Chen, Y.-W., Tang, D.-W., Chen, Y.-W. (2010). TOPSIS with belief structure for group belief multiple criteria decision making. International Journal of Automation and Computing, 7(3), 359-364. doi:10.1007/s11633- 010-0515-7.
dc.relation.isbasedonJiang, Y.-X., Liu, Y.-S., Ying, G.-G., Wang, H.-W., Liang, Y.-Q., & Chen, X.-W. (2015). A new tool for assessing sediment quality based on the Weight of Evidence approach and grey TOPSIS. Science of the Total Environment, 537(15), 369-376. doi:10.1016/j.scitotenv.2015.08.004.
dc.relation.isbasedonKsiążek, M.V., Nowak, P.O., Kivrak, S., Rosłon, J.H., & Ustinovichius, L. (2015). Computer-aided decision-making in construction project development. Journal of Civil Engineering and Management, 21(2), 248- 259. doi:10.3846/13923730.2014.996250.
dc.relation.isbasedonKusi-Sarpong, S., Bai, C., Sarkis, J., Wang, X. (2015). Green supply chain practices evaluation in the mining industry using a joint rough sets and fuzzy TOPSIS methodology. Resources Policy, 46(1), 86-100. doi:10.1016/j. resourpol.2014.10.011.
dc.relation.isbasedonLazauskaite, D., Burinskiene, M., & Podvezko, V. (2015). Subjectively and objectively integrated assessment of the quality indices of the suburban residential environment. International Journal of Strategic Property Management, 19(3), 297-308. doi:10.3846/1648715X.2015.1051164.
dc.relation.isbasedonLee, G., Jun, K.S., & Chung, E.-S. (2014). Robust spatial fl ood vulnerability assessment for Han River using fuzzy TOPSIS with α-cut level set. Expert Systems with Applications, 41(2), 644-654. doi:10.1016/j.eswa.2013.07.089.
dc.relation.isbasedonLiou, J.J.H., & Tzeng, G.-H. (2012). Comments on “Multiple criteria decision making (MCDM) methods in economics: an overview”. Technological and Economic Development of Economy, 18(4), 672-695. doi:10.3846/202949 13.2012.753489.
dc.relation.isbasedonLourenço, R.P., & Costa, J.P. (2004). Using ELECTRE TRI outranking method to sort MOMILP nondominated solutions. European Journal of Operational Research, 153(2), 271-289. doi:10.1016/S0377-2217(03)00150-4.
dc.relation.isbasedonMardani, A., Jusoh, A., MD Nor, K., Khalifah, Z., Zakwan, N., & Valipour, A. (2015). Multiple criteria decision-making techniques and their applications - a review of the literature from 2000 to 2014. Economic Research-Ekonomska Istraživanja, 28(1), 516-571. doi:10.1080/1331 677X.2015.1075139.
dc.relation.isbasedonMassaglia, R., & Ostanello, A. (1991). N-TOMIC: a support system for multicriteria segmentation problems. In P. Korhonen, A. Lewandowski, J. Walenius (Eds.), Multiple Criteria Decision Support, LNEMS, 356 (pp. 167-174). Berlin: Springer.
dc.relation.isbasedonMokhtarian, M.N. (2015). A note on “Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets”. Applied Soft Computing, 26, 513-514. doi:10.1016/j. asoc.2014.10.013.
dc.relation.isbasedonMontibeller, G., & Franco, L.A. (2011). Raising the bar: strategic multi-criteria decision analysis. Journal of the Operational Research Society, 62(5), 855-867. doi:10.1057/ jors.2009.178.
dc.relation.isbasedonMousseau, V., & Slowinski, R. (1998). Inferring an ELECTRE TRI model from assignment examples. Journal of Global Optimization, 12(2), 157-174. doi:10.1023/A:1008210427517.
dc.relation.isbasedonMousseau, V., Figueira, J., & Naux, J.- Ph. (2001). Using assignment examples to infer weights for ELECTRE TRI method: Some experimental results. European Journal of Operational Research, 130(2), 263-275. doi:10.1016/S0377-2217(00)00041-2.
dc.relation.isbasedonMousseau, V., Slowinski, R., & Zielniewicz, P. (2000). A user-oriented implementation of the ELECTRE-TRI method integrating preference elicitation support. Computers & Operations Research, 27(7-8), 757-777. doi:10.1016/ S0305-0548(99)00117-3.
dc.relation.isbasedonMulliner, E., Malys, N., & Maliene, V. (2016). Comparative analysis of MCDM methods for the assessment of sustainable housing affordability. Omega, 59(B), 146-156. doi:10.1016/j.omega.2015.05.013.
dc.relation.isbasedonNemery, P., & Lamboray, C. (2008). FlowSort: a fl ow-based sorting method with limiting or central profi les. TOP, 16(1), 90-113. doi:10.1007/s11750-007-0036-x.
dc.relation.isbasedonNorese, M.F., & Viale, S. (2002). A multiprofi le sorting procedure in the public administration. European Journal of Operational Research, 138(2): 365-379. doi:10.1016/ S0377-2217(01)00252-1.
dc.relation.isbasedonOztaysi, B. (2014). A decision model for information technology selection using AHP integrated TOPSIS-Grey: The case of content management systems. Knowledge- Based Systems, 70, 44-54. doi:10.1016/j. knosys.2014.02.010.
dc.relation.isbasedonPerny, P. (1998). Multicriteria fi ltering methods based on concordance and non-discordance principles. Annals of Operations Research, 80(0), 137-165. doi:10.1023/A:1018907729570.
dc.relation.isbasedonPourahmad, A., Hosseini, A., Banaitis, A., Nasiri, H., Banaitienė, N., & Tzeng, G.H. (2015). Combination of fuzzy-AHP and DEMATEL-ANP with GIS in a new hybrid MCDM model used for the selection of the best space for leisure in a blighted urban site. Technological and Economic Development of Economy, 21(5), 773-796. doi:10.3846/20294913.2015.1056279.
dc.relation.isbasedonResearch & Planning Center of Tehran. (2012). The state of environment report of Tehran. The collection of Research & Planning Center of Tehran’s projects in the promotion of life quality. Retrieved November 7, 2015, from http://en.tehran.ir/Portals/0/Document/The%20 State%20of%20Environment%20(SoE)%20 Report%20of%20Tehran%20.pdf.
dc.relation.isbasedonRoy, B., & Bouyssou, D. (1993). Aide multicritère à la décision: Méthodes et cas. Paris: Economica.
dc.relation.isbasedonSánchez-Lozano, J.M., Antunes, C.H., García-Cascales, M.S., & Dias, L.C. (2014). GIS-based photovoltaic solar farms site selection using ELECTRE-TRI: Evaluating the case for Torre Pacheco, Murcia, Southeast of Spain. Renewable Energy, 66, 478-494. doi:10.1016/j.renene.2013.12.038.
dc.relation.isbasedonŞengül, Ü., Eren, M., Shiraz, S.E., Gezder, V., & Şengül, A.B. (2015). Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey. Renewable Energy, 75, 617- 625. doi:10.1016/j.renene.2014.10.045.
dc.relation.isbasedonSingh, R.B. (Ed.). (2015). Urban development challenges, risks and resilience in Asian mega cities, Advances in Geographical and Environmental Sciences. Tokyo: Springer Japan. doi:10.1007/978-4-431-55043-3.
dc.relation.isbasedonSiozinyte, E., Antucheviciene, J., & Kutut, V. (2014). Upgrading the old vernacular building to contemporary norms: multiple criteria approach. Journal of Civil Engineering and Management, 20(2), 291-298. doi:10.3846/13923730.2014.9 04814.
dc.relation.isbasedonTajrishy, M., Abdolghafoorian, A., & Abrishamchi, A. (2014). Water reuse and wastewater recycling: Solutions to Tehran’s growing water crisis. In R.Q. Grafton, P. Wyrwoll, C. White, & D. Allendes (Eds.), Global Water: Issues and Insights (pp. 223-230). Canberra: ANU Press, The Australian National University.
dc.relation.isbasedonTiwary, A., Sinnett, D., Peachey, C.J., Chalabi, Z., Vardoulakis, S., Fletcher, T., Leonardi, G., Grundy, C., Azapagic, A., & Hutchings, T.R. (2009). An integrated tool to assess the role of new planting in PM10 capture and the human health benefi ts: a case study in London. Environmental Pollution, 157, 2645- 2653. doi:10.1016/j.envpol.2009.05.005.
dc.relation.isbasedonVahdani, B., Mousavi, S.M., & Tavakkoli- Moghaddam, R. (2011). Group decision making based on novel fuzzy modifi ed TOPSIS method. Applied Mathematical Modelling, 35(9), 4257- 4269. doi:10.1016/j.apm.2011.02.040.
dc.relation.isbasedonVincke, P. (1992). Multicriteria decision-aid. Chichester: Wiley.
dc.relation.isbasedonWang, C.-S., Yang, H.-L., & Lin, S.-L. (2015). To make good decision: A group DSS for multiple criteria alternative rank and selection. Mathematical Problems in Engineering, 2015, Article ID 186970, 15 pages. doi:10.1155/2015/186970.
dc.relation.isbasedonWorld Health Organization (2010). Urban planning, environment and health: from evidence to policy action. Retrieved December 10, 2015, from http://www.euro.who.int/__data/ assets/pdf_fi le/0004/114448/E93987.pdf?ua=1.
dc.relation.isbasedonWu, J. (2015). A SD-IITFOWA operator and TOPSIS based approach for MAGDM problems with intuitionistic trapezoidal fuzzy numbers. Technological and Economic Development of Economy, 21(1), 28-47. doi:10.3846/20294913 .2014.946982.
dc.relation.isbasedonXia, B., Zuo, J., Skitmore, M., Chen, Q., & Rarasati, A. (2015). Sustainable retirement village for older people: a case study in Brisbane, Australia. International Journal of Strategic Property Management, 19(2), 149- 158. doi:10.3846/1648715X.2015.1029564.
dc.relation.isbasedonYe, F., & Li, Y. (2014). An extended TOPSIS model based on the possibility theory under fuzzy environment. Knowledge-Based Systems, 67(0), 263-269. doi:10.1016/j. knosys.2014.04.046.
dc.relation.isbasedonZardari, N.H., Ahmed, K., Shirazi, S.M., & Yusop, Z.B. (2015). Weighting methods and their effects on multi-criteria decision making model outcomes in water resources management, Springer briefs in water science and technology. Cham: Springer. doi:10.1007/978-3-319-12586-2.
dc.relation.isbasedonZavadskas, E.K., & Turskis, Z. (2011). Multiple criteria decision making (MCDM) methods in economics: An overview. Technological and Economic Development of Economy, 17(2), 397-427. doi:10.3846/202949 13.2011.593291.
dc.relation.isbasedonZavadskas, E.K., Turskis, Z., & Kildiene, S. (2014). State of art surveys of overviews on MCDM/MADM methods. Technological and Economic Development of Economy, 20(1), 165-179. doi:10.3846/20294913.2014.892037.
dc.relation.isbasedonZhang, X., & Xu, Z. (2015). Soft computing based on maximizing consensus and fuzzy TOPSIS approach to interval-valued intuitionistic fuzzy group decision making. Applied Soft Computing, 26(0), 42-56. doi:10.1016/j.asoc.2014.08.073.
dc.relation.isbasedonZheng, J., Metchebon Takougang, S.A., Mousseau, V., & Pirlot, M. (2014). Learning criteria weights of an optimistic Electre Tri sorting rule. Computers & Operations Research, 49, 28-40. doi:10.1016/j.cor.2014.03.012.
dc.relation.isbasedonZopounidis, C., & Doumpos, M. (2002). Multicriteria classifi cation and sorting methods: A literature review. European Journal of Operational Research, 138(2), 229-246. doi:10.1016/S0377-2217(01)00243-0.
dc.relation.isbasedonZupancic, T., Westmacott, C., & Bulthuis, M. (2015). The impact of green space on heat and air pollution in urban communities: A metanarrative systematic review. Vancouver, BC: David Suzuki Foundation. Retrieved December 20, 2015, from http://www.davidsuzuki. org/publications/Impactof GreenSpaceon- HeatandAirPollutionin UrbanCommunities.pdf.
dc.relation.ispartofEkonomie a Managementcs
dc.relation.ispartofEconomics and Managementen
dc.relation.isrefereedtrue
dc.rightsCC BY-NC
dc.subjectTOPSIS-Sorten
dc.subjectmultiple criteria decision making (MCDM)en
dc.subjectoutrankingen
dc.subjectsortingen
dc.subject.classificationC02
dc.subject.classificationC44
dc.subject.classificationC61
dc.subject.classificationC88
dc.subject.classificationO18
dc.subject.classificationQ56
dc.titleA NOVEL SORTING METHOD TOPSIS-SORT: AN APPLICATION FOR TEHRAN ENVIRONMENTAL QUALITY EVALUATIONen
dc.typeArticleen
local.accessopen
local.citation.epage104
local.citation.spage87
local.facultyFaculty of Economics
local.fulltextyes
local.relation.abbreviationE+Mcs
local.relation.abbreviationE&Men
local.relation.issue2
local.relation.volume19
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
EM_2_2016_6.pdf
Size:
1.82 MB
Format:
Adobe Portable Document Format
Description:
článek
Download
Collections
Číslo 2