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A novel pythagorean fuzzy AHP and its application to landfill site selection problem

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Abstract

Multi-criteria decision-making (MCDM) methods are susceptible to the subjectivity of experts when especially they use linguistic terms for assessment. This subjectivity and vagueness in the evaluation process have been handled by the recent extensions of ordinary fuzzy sets such as type-2 fuzzy sets, hesitant fuzzy sets, intuitionistic fuzzy sets, Pythagorean fuzzy sets and neutrosophic sets. Pythagorean fuzzy sets are superior to the other extensions with a more flexible definition of membership function. A novel Pythagorean fuzzy AHP method has been developed for MCDM. The developed method has been applied to a landfill site selection problem for the city of Istanbul in Turkey. The proposed method has successfully evaluated the landfill location alternatives with respect to the considered criteria. The results are compared with ordinary fuzzy AHP, and it is revealed that the proposed method produces consistent and informative outcomes better representing the uncertainty of decision-making environment. Robustness of the decision given by the proposed method is ensured by conducting one-at-a-time sensitivity analysis.

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References

  • Abdullah L, Najib L (2014) A new type-2 fuzzy set of linguistic variables for the fuzzy analytic hierarchy process. Expert Syst Appl 41(7):3297–3305

    Article  Google Scholar 

  • Abdullah L, Sunadia J, Imran T (2009) A new analytic hierarchy process in multi-attribute group decision making. Int J Soft Comput 4(5):208–214

    Google Scholar 

  • Akbari V, Rajabi MA, Chavoshi SH, Shams R (2008) Landfill site selection by combining GIS and fuzzy multi criteria decision analysis, case study: Bandar Abbas, Iran. World Appl Sci J 3(1):39–47

    Google Scholar 

  • Alavi N, Goudarzi G, Babaei AA, Jaafarzadeh N, Hosseinzadeh M (2013) Municipal solid waste landfill site selection with geographic information systems and analytical hierarchy process: a case study in Mahshahr County, Iran. Waste Manag Res 31(1):98–105

    Article  Google Scholar 

  • Al-Jarrah O, Abu-Qdais H (2006) Municipal solid waste landfill siting using intelligent system. Waste Manag 26(3):299–306

    Article  Google Scholar 

  • Arslankaya E, Ataselim F, Varinca KB (2007) Kati atik toplama-tasima araclarinin aktarma merkezleri veistanbul trafiginde meydana getirdikleri yuklerin degerlendirilmesi. In: AB Surecinde Turkiyede Kati Atik Yonetimi ve Cevre Sorunlari TURKAY

  • Atanassov KT (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20(1):87–96

    Article  MATH  Google Scholar 

  • Atannasov K (1999) Intuitionistic fuzzy sets: theory and applications. Physica-Verlag, New York

    Book  Google Scholar 

  • Baban SM, Flannagan J (1998) Developing and implementing GIS-assisted constraints criteria for planning landfill sites in the UK. Plan Pract Res 13(2):139–151

    Article  Google Scholar 

  • Banar M, Kose BM, Ozkan A, Acar IP (2007) Choosing a municipal landfill site by analytic network process. Environ Geol 52(4):747–751

    Article  Google Scholar 

  • Beskese A, Demir HH, Ozcan HK, Okten HE (2015) Landfill site selection using fuzzy AHP and fuzzy TOPSIS: a case study for Istanbul. Environ Earth Sci 73(7):3513–3521

    Article  Google Scholar 

  • Buckley JJ (1985) Fuzzy hierarchical analysis. Fuzzy Sets Syst 17(3):233–247

    Article  MathSciNet  MATH  Google Scholar 

  • Canada JR (1980) Capital investment decision analysis for management and engineering. Prentice-Hall, Upper Saddle River

    Google Scholar 

  • Cevik Onar S, Oztaysi B, Kahraman C (2014) Strategic decision selection using hesitant fuzzy TOPSIS and interval type-2 fuzzy AHP: a case study. Int J Comput Intell Syst 7(5):1002–1021

    Article  Google Scholar 

  • Chang NB, Parvathinathan G, Breeden JB (2008) Combining GIS with fuzzy multicriteria decision-making for landfill siting in a fast-growing urban region. J Environ Manag 87(1):139–153

    Article  Google Scholar 

  • Dick S, Yager RR, Yazdanbakhsh O (2016) On Pythagorean and complex fuzzy set operations. IEEE Trans Fuzzy Syst 24(5):1009–1021

    Article  Google Scholar 

  • Dong Y, Herrera-Viedma E (2015) Consistency-driven automatic methodology to set interval numerical scales of 2-tuple linguistic term sets and its use in the linguistic GDM with preference relation. IEEE Trans Cybern 45(4):780–792

    Article  Google Scholar 

  • Dong Y, Xu Y, Yu S (2009) Computing the numerical scale of the linguistic term set for the 2-tuple fuzzy linguistic representation model. IEEE Trans Fuzzy Syst 17(6):1366–1378

    Article  Google Scholar 

  • Dong Y, Zhang G, Hong WC, Yu S (2013) Linguistic computational model based on 2-tuples and intervals. IEEE Trans Fuzzy Syst 21(6):1006–1018

    Article  Google Scholar 

  • Effat HA, Hegazy MN (2012) Mapping potential landfill sites for North Sinai cities using spatial multicriteria evaluation. Egypt J Remote Sens Space Sci 15(2):125–133

    Google Scholar 

  • Erdogan M, Kaya I (2016) Evaluating alternative-fuel busses for public transportation in Istanbul using interval type-2 Fuzzy AHP and TOPSIS. J Mult Valued Logic Soft Comput 26(6):11

    Google Scholar 

  • Garg H (2016) A novel correlation coefficients between Pythagorean fuzzy sets and its applications to decisionmaking processes. Int J Intel Syst 31(12):1234–1252

    Article  Google Scholar 

  • Garg H (2017) A novel improved accuracy function for interval valued pythagorean fuzzy sets and its applications in the decisionmaking process. Int J Intel Syst 32(12):1247–1260

    Article  Google Scholar 

  • Gbanie SP, Tengbe PB, Momoh JS, Medo J, Kabba VTS (2013) Modelling landfill location using geographic information systems (GIS) and multi-criteria decision analysis (MCDA): case study Bo, Southern Sierra Leone. Appl Geogr 36:3–12

    Article  Google Scholar 

  • Gorsevski PV, Donevska KR, Mitrovski CD, Frizado JP (2012) Integrating multi-criteria evaluation techniques with geographic information systems for landfill site selection: a case study using ordered weighted average. Waste Manag 32(2):287–296

    Article  Google Scholar 

  • Grattan Guinness I (1976) Fuzzy membership mapped onto intervals and many valued quantities. Math Logic Q 22(1):149–160

    Article  MathSciNet  MATH  Google Scholar 

  • Herrera F, Herrera-Viedma E, Martnez L (2008) A fuzzy linguistic methodology to deal with unbalanced linguistic term sets. IEEE Trans Fuzzy Syst 16(2):354–370

    Article  Google Scholar 

  • HerreraViedma E, LpezHerrera AG (2007) A model of an information retrieval system with unbalanced fuzzy linguistic information. Int J Intell Syst 22(11):1197–1214

    Article  Google Scholar 

  • ISTAC-1, Geri Kazanilamayan Atiklarin Bertarafi (2015) http://www.istac.istanbul/tr/temiz-istanbul/evsel-atiklar/duzenli-depolama. Accessed 26 May 2018

  • ISTAC-2, Kati Atik Aktarma Istasyonlari ve Nakliye Hizmetleri. https://atikyonetimi.ibb.gov.tr/hizmetlerimiz/kati-atik-aktarim-istasyonlari/. Accessed 26 May 2018

  • Jahn KU (1975) Intervallwertige Mengen. Math Nach 68(1):115–132

    Article  Google Scholar 

  • Kahraman C, Oztaysi B, Sari IU, Turanoglu E (2014) Fuzzy analytic hierarchy process with interval type-2 fuzzy sets. Knowl Based Syst 59:48–57

    Article  Google Scholar 

  • Karaan A, Kahraman C (2017) A novel intuitionistic fuzzy DEMATELANPTOPSIS integrated methodology for freight village location selection. J Intell Fuzzy Syst Preprint:1–18

    Google Scholar 

  • Kilic M, Kaya I (2015) Investment project evaluation by a decision making methodology based on type-2 fuzzy sets. Appl Soft Comput 27:399–410

    Article  Google Scholar 

  • Kulak O, Kahraman C (2005) Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic hierarchy process. Inf Sci 170(2–4):191–210

    Article  MATH  Google Scholar 

  • Kwong CK, Bai H (2002) A fuzzy AHP approach to the determination of importance weights of customer requirements in quality function deployment. J Intell Manuf 13(5):367–377

    Article  Google Scholar 

  • Kwong CK, Bai H (2003) Determining the importance weights for the customer requirements in QFD using a fuzzy AHP with an extent analysis approach. Iie Trans 35(7):619–626

    Article  Google Scholar 

  • Lee AH, Chen WC, Chang CJ (2008) A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan. Expert Syst Appl 34(1):96–107

    Article  Google Scholar 

  • Li CC, Dong Y, Herrera F, Herrera-Viedma E, Martnez L (2017) Personalized individual semantics in computing with words for supporting linguistic group decision making: an application on consensus reaching. Inf Fusion 33:29–40

    Article  Google Scholar 

  • Lin HY, Kao JJ (2005) Grid-based heuristic method for multifactor landfill siting. J Comput Civil Eng 19(4):369–376

    Article  Google Scholar 

  • Marin LE, Torres V, Bolongaro A, Reyna JA, Pohle O, Hernandez-Espriu A, Chavarria J, Garcia-Barrios R, Tabla HFP (2012) Identifying suitable sanitary landfill locations in the state of Morelos, Mexico, using a geographic information system. Phys Chem Earth Parts A/B/C 37:2–9

    Article  Google Scholar 

  • Moeinaddini M, Khorasani N, Danehkar A, Darvishsefat AA (2010) Siting MSW landfill using weighted linear combination and analytical hierarchy process (AHP) methodology in GIS environment (case study: Karaj). Waste Manag 30(5):912–920

    Article  Google Scholar 

  • Mousavi SM, Gitinavard H, Siadat A (2014) A new hesitant fuzzy analytical hierarchy process method for decision-making problems under uncertainty. In: 2014 IEEE international conference on industrial engineering and engineering management (IEEM), pp 622–626

  • M. of Environment, F. of Turkey, Ministry of Environment and Forestry of Turkey, Turkish regulations of the control of solid wastes, Official Gazette (1991)

  • Nas B, Cay T, Iscan F, Berktay A (2010) Selection of MSW landfill site for Konya, Turkey using GIS and multi-criteria evaluation. Environ Monit Assess 160(1–4):491–500

    Article  Google Scholar 

  • Ohnishi SI, Dubois D, Prade H, Yamanoi T (2006) A study on the analytic hierarchy process using a fuzzy reciprocal matrix. In: Proceeding of the conference IPMU 2006

  • Onar S, Buyukozkan G, Oztaysi B, Kahraman C (2016) A new hesitant fuzzy QFD approach: an application to computer workstation selection. Appl Soft Comput 46:1–16

    Article  Google Scholar 

  • Oztaysi B (2015) A group decision making approach using interval type-2 Fuzzy AHP for enterprise information systems project selection. J Mult Valued Logic Soft Comput 24(5):475

    MathSciNet  Google Scholar 

  • Oztaysi B, Onar SC, Bolturk E, Kahraman C (2015) Hesitant fuzzy analytic hierarchy process. In: 2015 IEEE international conference fuzzy systems (FUZZ-IEEE), pp 1–7

  • Pedrycz W, Song M (2014) A granulation of linguistic information in AHP decision-making problems. Inf Fusion 17:93–101

    Article  Google Scholar 

  • Peng X, Yang Y (2015) Some results for Pythagorean fuzzy sets. Int J Intel Syst 30(11):1133–1160

    Article  Google Scholar 

  • Ren P, Xu Z, Liao H (2016) Intuitionistic multiplicative analytic hierarchy process in group decision making. Comput Ind Eng 101:513–524

    Article  Google Scholar 

  • Ruoning X, Xiaoyan Z (1992) Extensions of the analytic hierarchy process in fuzzy environment. Fuzzy Sets Syst 52(3):251–257

    Article  MathSciNet  Google Scholar 

  • Saaty TL (2008) Decision making with the analytic hierarchy process. Int J Serv Sci 1(1):83–98

    Google Scholar 

  • Sadiq R, Tesfamariam S (2009) Environmental decision-making under uncertainty using intuitionistic fuzzy analytic hierarchy process (IF-AHP). Stoch Environ Res Risk Assess 23(1):75–91

    Article  MathSciNet  MATH  Google Scholar 

  • Sambuc R (1975) Fonctions and Floues: Application a l’aide au Diagnostic en Pathologie Thyroidienne, Facult de Mdecine de Marseille

  • Saral A, Demir S, Yldz S (2009) Assessment of odorous VOCs released from a main MSW landfill site in Istanbul-Turkey via a modelling approach. J Hazard Mater 168(1):338–345

    Article  Google Scholar 

  • Sener B, Suzen ML, Doyuran V (2006) Landfill site selection by using geographic information systems. Environ Geol 49(3):376–388

    Article  Google Scholar 

  • Sener S, Sener E, Nas B, Karaguzel R (2010) Combining AHP with GIS for landfill site selection: a case study in the Lake Beysehir catchment area (Konya, Turkey). Waste Manag 30(11):2037–2046

    Article  Google Scholar 

  • Sener S, Sener E, Karaguzel R (2011) Solid waste disposal site selection with GIS and AHP methodology: a case study in SenirkentUluborlu (Isparta) Basin, Turkey. Environ Monit Assess 173(1–4):533–554

    Article  Google Scholar 

  • Siddiqui MZ, Everett JW, Vieux BE (1996) Landfill siting using geographic information systems: a demonstration. J Environ Eng 122(6):515–523

    Article  Google Scholar 

  • Sumathi VR, Natesan U, Sarkar C (2008) GIS-based approach for optimized siting of municipal solid waste landfill. Waste Manag 28(11):2146–2160

    Article  Google Scholar 

  • TODAIE, Istanbul Ilceleri Cografi Bilgileri Listesi (2017). http://istanbul.yerelnet.org.tr/ililcekoordinat.php?iladi=%DDSTANBUL. Accessed 26 May 2018

  • Torra V (2010) Hesitant fuzzy sets. Int J Intell Syst 25(6):529–539

    MATH  Google Scholar 

  • Uyan M (2014) MSW landfill site selection by combining AHP with GIS for Konya, Turkey. Environ Earth Sci 71(4):1629–1639

    Article  Google Scholar 

  • Van Laarhoven PJM, Pedrycz W (1983) A fuzzy extension of Saaty’s priority theory. Fuzzy Sets Syst 11(1–3):229–241

    Article  MathSciNet  MATH  Google Scholar 

  • Vatalis K, Manoliadis O (2002) A two-level multicriteria DSS for landfill site selection using GIS: case study in western Macedonia, Greece. J Geogr Inf Decis Anal 6(1):49–56

    Google Scholar 

  • Wang L, Chu J, Wu J (2007) Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process. Int J Prod Econ 107(1):151–163

    Article  Google Scholar 

  • Wang G, Qin L, Li G, Chen L (2009) Landfill site selection using spatial information technologies and AHP: a case study in Beijing, China. J Environ Manag 90(8):2414–2421

    Article  Google Scholar 

  • Wang X, Chan HK, Yee RW, Diaz-Rainey I (2012) A two-stage fuzzy-AHP model for risk assessment of implementing green initiatives in the fashion supply chain. Int J Prod Econ 135(2):595–606

    Article  Google Scholar 

  • Wu J, Huang HB, Cao QW (2013) Research on AHP with interval-valued intuitionistic fuzzy sets and its application in multi-criteria decision making problems. Appl Math Model 37(24):9898–9906

    Article  MathSciNet  MATH  Google Scholar 

  • Xu Z, Liao H (2014) Intuitionistic fuzzy analytic hierarchy process. IEEE Trans Fuzzy Syst 22(4):749–761

    Article  Google Scholar 

  • Yager R R (2013) Pythagorean fuzzy subsets. In: 2013 Joint IFSA world congress and NAFIPS annual meeting (IFSA/NAFIPS). IEEE, pp 57–61

  • Yager RR (2014) Pythagorean membership grades in multicriteria decision making. IEEE Trans Fuzzy Syst 22(4):958–965

    Article  Google Scholar 

  • Yager RR (2016) Properties and applications of Pythagorean fuzzy sets. In imprecision and uncertainty in information representation and processing. Springer, Cham, pp 119–136

    Google Scholar 

  • Yager RR, Abbasov AM (2013) Pythagorean membership grades, complex numbers, and decision making. Int J Intell Syst 28(5):436–452

    Article  Google Scholar 

  • Zadeh LA (1965) Fuzzy sets. Inf Control 8:338–353

    Article  MATH  Google Scholar 

  • Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning. I. Inf Sci 8(3):199–249

    Article  MathSciNet  MATH  Google Scholar 

  • Zeng S, Chen J, Li X (2016) A hybrid method for pythagorean fuzzy multiple-criteria decision making. Int J Inf Technol Decis Making 15(02):403–422

    Article  Google Scholar 

  • Zhang X (2016) Multicriteria Pythagorean fuzzy decision analysis: a hierarchical QUALIFLEX approach with the closeness index-based ranking methods. Inf Sci 330:104–124

    Article  Google Scholar 

  • Zhang X, Xu Z (2014) Extension of TOPSIS to multiple criteria decision making with Pythagorean fuzzy sets. Int J Intell Syst 29(12):1061–1078

    Article  MathSciNet  Google Scholar 

  • Zhang C, Li D, Ren R (2016) Pythagorean fuzzy multigranulation rough set over two universes and its applications in merger and acquisition. Int J Intel Syst 31(9):921–943

    Article  Google Scholar 

  • Zhang C, Ma CB, Xu JD (2005, August) A new fuzzy MCDM method based on trapezoidal fuzzy AHP and hierarchical fuzzy integral. In: International conference on fuzzy systems and knowledge discovery. Springer, Berlin, pp 466–474

  • Zhou W, Xu Z (2016) Asymmetric hesitant fuzzy sigmoid preference relations in the analytic hierarchy process. Inf Sci 358:191–207

    Article  Google Scholar 

  • Zhu B, Xu Z, Zhang R, Hong M (2016) Hesitant analytic hierarchy process. Eur J Oper Res 250(2):602–614

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to Cengiz Kahraman.

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Karasan, A., Ilbahar, E. & Kahraman, C. A novel pythagorean fuzzy AHP and its application to landfill site selection problem. Soft Comput 23, 10953–10968 (2019). https://doi.org/10.1007/s00500-018-3649-0

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