Implementing the AHP multi-criteria decision approach in buying an apartment in Jordan

References

• Abu Qdais, H., & Alshraideh, H. (2016). Selection of management option for solid waste from olive oil industry using the analytical hierarchy process. Journal of Material Cycles and Waste Management, 18, 177–185.10.1007/s10163-014-0321-3
   Web of Science ®Google Scholar
• Al-Homoud, M., Al-Oun, S., & Al-Hindawi, A. (2009). The low-income housing market in Jordan. International Journal of Housing Markets and Analysis, 2(3), 233–252.10.1108/17538270910977536
   Google Scholar
• Anderson, N. H. (1970). Functional measurement and psychophysical judgment. Psychological Review, 77(3), 153–170.10.1037/h0029064
   PubMed Web of Science ®Google Scholar
• Assari, A., Maheshand, T., & Assari, E. (2012). Role of public participation in sustainability of historical city: Usage of TOPSIS method. Indian Journal of Science and Technology, 5(3), 2289–2294.
   Google Scholar
• Beccali, M., Cellura, M., & Mistretta, M. (2003). Decision-making in energy planning. Application of the Electre method at regional level for the diffusion of renewable energy technology. Renewable Energy, 28(13), 2063–2087.10.1016/S0960-1481(03)00102-2
   Web of Science ®Google Scholar
• Benítez, J. M., Martín, J. C., & Román, C. (2007). Using fuzzy number for measuring quality of service in the hotel industry. Tourism Management, 28(2), 544–555.10.1016/j.tourman.2006.04.018
   Web of Science ®Google Scholar
• Bozorgi-Amiri, A., & Asvadi, S. (2015). A prioritization model for locating relief logistic centers using analytic hierarchy process with interval comparison matrix. Knowledge-Based Systems, 86, 173–181.10.1016/j.knosys.2015.06.005
   Web of Science ®Google Scholar
• Chau, O., & Parkan, C. (1995). Selection of a manufacturing process with multiple attributes: A case study. Journal of Engineering and Technology Management, 12(3), 219–237.10.1016/0923-4748(95)00011-7
   Web of Science ®Google Scholar
• Chen, H. (2016). Quality function deployment in failure recovery and prevention. The Service Industries Journal, 36, 615–637.10.1080/02642069.2016.1272588
   Web of Science ®Google Scholar
• Chen, M., & Wang, S. (2010). The critical factors of success for information service industry in developing international market: Using analytic hierarchy process (AHP) approach. Expert Systems with Applications, 37, 694–704.10.1016/j.eswa.2009.06.012
   Web of Science ®Google Scholar
• Dawes, R. M. (1971). A case study of graduate admissions: Application of three principles of human decision making. American Psychologist, 26(2), 180–188.10.1037/h0030868
   Web of Science ®Google Scholar
• Delmendo, L. (2017). Jordan’s property prices stable, despite weak demand. [Online] Retrieved September 9, 2017 from, http://www.globalpropertyguide.com/Middle-East/Jordan
   Google Scholar
• Dweiri, F., Kumar, S., Ahmed Khan, S., & Jain, V. (2016). Designing an integrated AHP based decision support system for supplier selection in automotive industry. Expert Systems with Applications, 62, 273–283.10.1016/j.eswa.2016.06.030
   Web of Science ®Google Scholar
• Erbıyık, H., Özcan, S., & Karaboğa, K. (2012). Retail store location selection problem with multiple analytical hierarchy process of decision making an application in Turkey. Procedia – Social and Behavioral Sciences, 58, 1405–1414.
   Google Scholar
• Erden, T., & Coşkun, M. Z. (2010). Multi-criteria site selection for fire services: The interaction with analytic hierarchy process and geographic information systems. Natural Hazards and Earth System Science, 10, 2127–2134.10.5194/nhess-10-2127-2010
   Web of Science ®Google Scholar
• Ertuğrul, İ., & Karakaşoğlu, N. (2008). Comparison of fuzzy AHP and fuzzy TOPSIS methods for facility location selection. The International Journal of Advanced Manufacturing Technology, 39, 783–795.10.1007/s00170-007-1249-8
   Web of Science ®Google Scholar
• Fan, G., Zhong, D., Yan, F., & Yue, P. (2016). A hybrid fuzzy evaluation method for curtain grouting efficiency assessment based on an AHP method extended by D numbers. Expert Systems with Applications, 44, 289–303.10.1016/j.eswa.2015.09.006
   Web of Science ®Google Scholar
• Feng, C., & Wang, R. (2001). Considering the financial ratios on the performance evaluation of highway bus industry. Transport Reviews, 21(4), 449–467.10.1080/01441640010020304
   Web of Science ®Google Scholar
• García, J. L., Alvarado, A., Blanco, J., Jiménez, E., Maldonado, A. A., & Cortés, G. (2014). Multi-attribute evaluation and selection of sites for agricultural product warehouses based on an analytic hierarchy process. Computers and Electronics in Agriculture, 100, 60–69.
   Web of Science ®Google Scholar
• Karim, R., & Karmaker, C. L. (2016). Machine selection by AHP and TOPSIS methods. American Journal of Industrial Engineering, 4(1), 7–13.
   Google Scholar
• Khan, M. H., & Ahmad, S. (2017). Ranking operational causes of bullwhip effect in supply chain using AHP: Perception of managers in FMCG sector. Metamorphosis, 15(2), 79–90.
   Google Scholar
• Kim, G., Park, C., & Yoon, K. (1997). Identifying investment opportunities for advanced manufacturing systems with comparative-integrated performance measurement. International Journal of Production Economics, 50(1), 23–33.10.1016/S0925-5273(97)00014-5
   Web of Science ®Google Scholar
• Leyva-López, J. C., & Fernández-González, E. (2003). A new method for group decision support based on ELECTRE III methodology. European Journal of Operational Research, 148, 14–27.10.1016/S0377-2217(02)00273-4
   Web of Science ®Google Scholar
• Louviere, J. (1974). Predicting the evaluation of real stimulus objects from abstract evaluation of their attributes: The case of trout streams. Journal of Applied Psychology, 59(5), 572–577.10.1037/h0037172
   Web of Science ®Google Scholar
• Louviere, J. J., & Henley, D. A. (1977). Information integration theory applied to student apartment selection decisisons. Geographical Analysis, 9, 130–141.
   Web of Science ®Google Scholar
• Moon, J., Lee, J., Choi, J., Lim, C., Lee, J., Lee, M., ... KIM, Y. (2015). Evaluation indicators for priorities of standardization in traditional medicine: Using analytic hierarchy process (AHP). Integrative Medicine Research, 4(1), 118–119.
   Google Scholar
• OXFORD Business Group. (2011). The report: Jordan 2011. Dubai: Author.
   Google Scholar
• Özcan, T., Çelebi, N., & Esnaf, S. (2011). Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem. Expert Systems with Applications, 38, 9773–9779.
   Web of Science ®Google Scholar
• Raj, P. A. (1995). Multicriteria methods in river basin planning – A case study. Water Science and Technology, 31(8), 261–272.
   Web of Science ®Google Scholar
• Reed, R., & Mills, A. (2007). Identifying the drivers behind housing preferences of first‐time owners. Property Management, 25(3), 225–241.10.1108/02637470710753611
   Google Scholar
• RogerS, M., & Bruen, M. (1998). A new system for weighting environmental criteria for use within ELECTRE III. European Journal of Operational Research, 107(3), 552–563.10.1016/S0377-2217(97)00154-9
   Web of Science ®Google Scholar
• Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83–98.10.1504/IJSSCI.2008.017590
   Google Scholar
• Saaty, T. L., & Vargas, L. G. (2006). Decision making with the analytic network process: Economic, political, social and technological applications with benefits, opportunities, costs and risks. New York, NY: Springer.
   Google Scholar
• Saracoglu, B. O. (2013). Selecting industrial investment locations in master plans of countries. European Journal of Industrial Engineering, 7(4), 416–441.10.1504/EJIE.2013.055016
   Web of Science ®Google Scholar
• Shanian, A., Milani, A., Carson, C., & Abeyaratne, R. (2008). A new application of ELECTRE III and revised Simos’ procedure for group material selection under weighting uncertainty. Knowledge-Based Systems, 21(7), 709–720.10.1016/j.knosys.2008.03.028
   Web of Science ®Google Scholar
• Taha, H. A. (2011). Operations research: An introduction (9th ed.). Upper Saddle River, NJ: Pearson.
   Google Scholar
• Triantaphyllou, E., & Mann, S. H. (1995). Using the analytic hierarchy process for decision making in engineering applications : Some challenge. International Journal of Industrial Engineering: Applications and Practice, 2(1), 35–44.
   Google Scholar
• Turhan, G., Akalın, M., & Zehir, C. (2013). Literature review on selection criteria of store location based on performance measures. Procedia – Social and Behavioral Sciences, 99(6), 391–402.10.1016/j.sbspro.2013.10.507
   Google Scholar
• Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of Operational Research, 169(1), 1–29.10.1016/j.ejor.2004.04.028
   Web of Science ®Google Scholar
• Venkataraman, K., Vijaya Ramnath, B., & Kannapan, S. (2014). Comparative analysis of AHP and ANP model for lean production system justification. Applied Mechanics and Materials, 591, 197–201.10.4028/www.scientific.net/AMM.591
   Google Scholar
• Vimal, J., Chaturvedi, V., & Dubey, A. K. (2012). Application of TOPSIS method for supplier selection in manufacturing industry. International Journal of Research in Engineering & Applied Sciences, 2(5), 25–35.
   Google Scholar
• Wang, L., Tian, S. C., Wang, X., Chen, Y. M., & Wang, R. (2014). Research on gas emission combination forecast method based on improved AHP. Applied Mechanics and Materials, 522–524, 876–880.
   Google Scholar
• Wedley, W. C., Choo, E. U., & Schoner, B. (2001). Magnitude adjustment for AHP benefit/cost ratios. European Journal of Operational Research, 133(2), 342–351.10.1016/S0377-2217(00)00302-7
   Web of Science ®Google Scholar
• Yu, J., & Tsai, C. (2008). A decision framework for supplier rating and purchase allocation: A case in the semiconductor industry. Computers & Industrial Engineering, 55, 634–646.10.1016/j.cie.2008.02.004
   Web of Science ®Google Scholar