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Journal articles on the topic 'Analytic Hierarchy Process'

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1

Cheng, Eddie W. L., and Heng Li. "Analytic hierarchy process." Measuring Business Excellence 5, no. 3 (September 2001): 30–37. http://dx.doi.org/10.1108/eum0000000005864.

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2

Rajput, Virendra, and Dr A. C. Shukla Dr.A.C.Shukla. "Decision-Making using the Analytic Hierarchy Process (AHP)." International Journal of Scientific Research 3, no. 6 (June 1, 2012): 135–36. http://dx.doi.org/10.15373/22778179/june2014/47.

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3

Liu, Hsiang-Hsi, Yeong-Yuh Yeh, and Jih-Jeng Huang. "Correlated Analytic Hierarchy Process." Mathematical Problems in Engineering 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/961714.

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The analytic hierarchy process (AHP) has been the most popular tool for the field of decision making in the past 30 years, because of its simplicity and rationality. Construct a hierarchy system for evaluation by decision makers. Hence, only the effect of outer-dependence can be considered in the AHP. However, besides outer-dependence, correlation is another common effect between criteria which cannot be accounted for neither by the AHP nor by the analytic network process (ANP). Hence, in this paper, we extend the AHP to consider the correlation effect. In addition, a biobjective programming model is proposed to derive the result. Furthermore, the traditional AHP can be considered as the special case of the proposed model when the correlation effect between criteria is ignored. Finally, a numerical example is given to justify the proposed method and compare the result with the AHP.
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4

Cheng, Eddie W. L., Heng Li, and Danny C. K. Ho. "Analytic hierarchy process (AHP)." Measuring Business Excellence 6, no. 4 (December 2002): 33–37. http://dx.doi.org/10.1108/13683040210451697.

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5

Zhu, Bin, Zeshui Xu, Ren Zhang, and Mei Hong. "Hesitant analytic hierarchy process." European Journal of Operational Research 250, no. 2 (April 2016): 602–14. http://dx.doi.org/10.1016/j.ejor.2015.09.063.

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6

Bartłomowicz, Tomasz. "COMPARATIVE ANALYSIS OF ANALYTIC HIERARCHY PROCESS R PACKAGES." Informatyka Ekonomiczna 3, no. 41 (2016): 9–18. http://dx.doi.org/10.15611/ie.2016.3.01.

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7

Chan, Hing Kai, Xuting Sun, and Sai-Ho Chung. "When should fuzzy analytic hierarchy process be used instead of analytic hierarchy process?" Decision Support Systems 125 (October 2019): 113114. http://dx.doi.org/10.1016/j.dss.2019.113114.

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8

Alsheref, Fahad Kamal. "Route Recommendation Model Via An Analytic Hierarchy Process (AHP)." Journal of Advanced Research in Dynamical and Control Systems 11, no. 9 (September 30, 2019): 17–24. http://dx.doi.org/10.5373/jardcs/v11i9/20192768.

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9

Bogdanov, Andrey. "USE OF ANALYTIC HIERARCHY PROCESS IN LOGISTICS DEMAND FORECASTING." Journal Scientific and Applied Research 9, no. 1 (February 5, 2016): 12–16. http://dx.doi.org/10.46687/jsar.v9i1.184.

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10

Lipovetsky, Stan. "Understanding the Analytic Hierarchy Process." Technometrics 63, no. 2 (April 3, 2021): 278–79. http://dx.doi.org/10.1080/00401706.2021.1904744.

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11

Tyagi, Satish, Terrence Chambers, and Kai Yang. "Enhanced fuzzy-analytic hierarchy process." Soft Computing 22, no. 13 (May 23, 2017): 4431–43. http://dx.doi.org/10.1007/s00500-017-2639-y.

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12

Xu, Zeshui, and Huchang Liao. "Intuitionistic Fuzzy Analytic Hierarchy Process." IEEE Transactions on Fuzzy Systems 22, no. 4 (August 2014): 749–61. http://dx.doi.org/10.1109/tfuzz.2013.2272585.

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13

Oliva, Gabriele, Roberto Setola, Antonio Scala, and Paolo Dell’Olmo. "Sparse analytic hierarchy process: an experimental analysis." Soft Computing 23, no. 9 (July 18, 2018): 2887–98. http://dx.doi.org/10.1007/s00500-018-3401-9.

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14

Bartłomowicz, Tomasz. "IMPLEMENTATION OF ANALYTIC HIERARCHY PROCESS METHOD IN AHPMETHOD OF R PACKAGE." Informatyka Ekonomiczna 3, no. 41 (2016): 19–27. http://dx.doi.org/10.15611/ie.2016.3.02.

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15

Zhang, Qiang, Dong Lin Lu, Xiao Long Wang, Yu Long Chen, and Jing Wei Dong. "The Improved Fuzzy Analytic Hierarchy Process." Applied Mechanics and Materials 543-547 (March 2014): 1901–4. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.1901.

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In FAHP, discontinuous scale, such as 0.1-0.9 scale, is usually used to get fuzzy judgment matrix. But when evaluating system is complex or index systems are too many, we may get stuck in a comparison dilemma by using 0.1-0.9 scale, resulting in a fuzzy judgment matrix of poor consistency. This paper improved 0.1-0.9 scale and established 0-1 continuous scale. We first apply 0-1 three scales to get a comparison matrix, and then converted it into a fuzzy judgment matrix according to 0-1 continuous scale.
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16

Wang, Haojun, Jiayi Jiang, Manrong Sun, and Yufeng Xiao. "Analytic Hierarchy Process Based Internship Selection." Journal of Physics: Conference Series 1903, no. 1 (April 1, 2021): 012023. http://dx.doi.org/10.1088/1742-6596/1903/1/012023.

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17

Kabassi, Katerina. "Analytic Hierarchy Process for website evaluation." Intelligent Decision Technologies 12, no. 2 (March 7, 2018): 137–48. http://dx.doi.org/10.3233/idt-170316.

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18

Dyer, James S. "Remarks on the Analytic Hierarchy Process." Management Science 36, no. 3 (March 1990): 249–58. http://dx.doi.org/10.1287/mnsc.36.3.249.

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19

Forman, Ernest H., and Saul I. Gass. "The Analytic Hierarchy Process—An Exposition." Operations Research 49, no. 4 (August 2001): 469–86. http://dx.doi.org/10.1287/opre.49.4.469.11231.

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20

Hu, Hongpu, J. Y. Lin Forrest, Wannian Liang, Ttao Dai, and Min Liu. "Establishment of Modified-Analytic Hierarchy Process." Journal of Computational and Theoretical Nanoscience 13, no. 5 (May 1, 2016): 2843–49. http://dx.doi.org/10.1166/jctn.2016.4927.

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21

Goh, Chon-Huat. "Analytic hierarchy process for robot selection." Journal of Manufacturing Systems 16, no. 5 (January 1997): 381–86. http://dx.doi.org/10.1016/s0278-6125(97)88467-1.

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22

Oliva, Gabriele, Roberto Setola, and Antonio Scala. "Sparse and distributed Analytic Hierarchy Process." Automatica 85 (November 2017): 211–20. http://dx.doi.org/10.1016/j.automatica.2017.07.051.

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23

Bodin, Lawrence, and Saul I. Gass. "On teaching the analytic hierarchy process." Computers & Operations Research 30, no. 10 (September 2003): 1487–97. http://dx.doi.org/10.1016/s0305-0548(02)00188-0.

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24

简, 斯佳. "Analytic Hierarchy Process for Forest Fire Prevention—Forest Fire Prevention Scheme Based on Analytic Hierarchy Process." Advances in Applied Mathematics 10, no. 12 (2021): 4272–82. http://dx.doi.org/10.12677/aam.2021.1012454.

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25

Siddayao, Generino P., Sony E. Valdez, and Proceso L. Fernandez. "Analytic Hierarchy Process (AHP) in Spatial Modeling for Floodplain Risk Assessment." International Journal of Machine Learning and Computing 4, no. 5 (2014): 450–57. http://dx.doi.org/10.7763/ijmlc.2014.v4.453.

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26

Abed Aljasim Muhisn, Zahraa, Mazni Omar, Mazida Ahmad, and Sinan Adnan Muhisn. "Team Leader Selection by Using an Analytic Hierarchy Process (AHP) Technique." Journal of Software 10, no. 10 (October 2015): 1216–27. http://dx.doi.org/10.17706//jsw.10.10.1216-1227.

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27

Brožová, H. "The analytic hierarchy process for the decision tree with multiple criteria." Agricultural Economics (Zemědělská ekonomika) 50, No. 2 (February 24, 2012): 77–82. http://dx.doi.org/10.17221/5170-agricecon.

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For choosing the best decision in daily agricultural practice, it is very important to formalize the decision process using systems analysis and mathematical methods. Theory of the decision-making under uncertainty or under risk supposes one criterion. In practice, the best solution is chosen under more decision criteria. Decision problem with <i>m</i> alternatives, <i>n</i> states of nature and k criteria has to be solved in this case. Application of the Analytic Hierarchy Process (AHP) for solution of this problem is described in this paper.
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28

Zhang, Ning, and Jin Fu Zhu. "Fuzzy Analytic Hierarchy Process Method for Civil Aviation Airport Security Information Management." Applied Mechanics and Materials 701-702 (December 2014): 40–43. http://dx.doi.org/10.4028/www.scientific.net/amm.701-702.40.

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In the study, the method based on the combination of analytic hierarchy process(AHP) and fuzzy theory is proposed to evaluate civil aviation airport security information management. Assessment indexes of civil aviation airport security information management are studied and given, and the hierarchic tree is formulated based on assessment indexes of civil aviation airport security information management. On the basis of describing evaluation indexes for civil aviation airport security information management, and the evaluation model of civil aviation airport security information management is constructed based on fuzzy analytic hierarchy process. Finally, the case is used to testify the effectiveness of the proposed fuzzy analytic hierarchy process method.
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29

Whitaker, Rozann. "Validation examples of the Analytic Hierarchy Process and Analytic Network Process." Mathematical and Computer Modelling 46, no. 7-8 (October 2007): 840–59. http://dx.doi.org/10.1016/j.mcm.2007.03.018.

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30

Kim, Jeong-Won. "A Job Scheduling Scheme based on Analytic Hierarchy Process in Cloud Computing." Journal of the Korea Society of Computer and Information 18, no. 8 (August 30, 2013): 9–15. http://dx.doi.org/10.9708/jksci.2013.18.8.009.

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31

Partovi, Fariborz Y., and Jonathan Burton. "Using the Analytic Hierarchy Process for ABC Analysis." International Journal of Operations & Production Management 13, no. 9 (September 1993): 29–44. http://dx.doi.org/10.1108/01443579310043619.

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32

ERKUT, ERHAN, and MURAT TARIMCILAR. "On Sensitivity Analysis in the Analytic Hierarchy Process." IMA Journal of Management Mathematics 3, no. 1 (1991): 61–83. http://dx.doi.org/10.1093/imaman/3.1.61.

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33

Sirikrai, Sajee B., and John C. S. Tang. "Industrial competitiveness analysis: Using the analytic hierarchy process." Journal of High Technology Management Research 17, no. 1 (January 2006): 71–83. http://dx.doi.org/10.1016/j.hitech.2006.05.005.

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34

Othman, Mohamad Rizza, Rosshila Idris, Mimi Haryani Hassim, and Wan Hanisah Wan Ibrahim. "Prioritizing HAZOP analysis using analytic hierarchy process (AHP)." Clean Technologies and Environmental Policy 18, no. 5 (February 2, 2016): 1345–60. http://dx.doi.org/10.1007/s10098-016-1104-4.

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35

Polat, Tülay Korkusuz. "An Application of Analytic Hierarchy Process and Fuzzy Analytic Hierarchy Process to The Case Type Selection Problem." Academic Perspective Procedia 1, no. 1 (November 9, 2018): 1179–88. http://dx.doi.org/10.33793/acperpro.01.01.188.

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Business enterprises need to show high performance in their industries in order to achieve a sustainable competition. This is not related only to individual performances, and each link on supply chain may have a considerable effect on business performance. Therefore, supply chain management is quite essential to the enterprises that supplier selection is one of its key elements to be run, and another is establishing the form of packaging before the supplier delivers the ordered raw materials. Raw material costs are influenced by the ability to determine such issues as packaging way, type of case, etc., and these factors are also important to maintain the quality of material. The aim of this study is to select the type of the case for raw materials to be placed in by the supplier, in the automobile industry with very intense competition. In order to solve this multi-criteria decision making problem, the Analytic Hierarchy Process (AHP), one of the multi-criteria decision making techniques, was used. Due to the ambiguity in several paired comparisons, the problem was also resolved using the Fuzzy Analytic Hierarchy Process (Fuzzy AHP).
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36

Ishizaka, Alessio, Menelaos Tasiou, and Luis Martínez. "Analytic hierarchy process-fuzzy sorting: An analytic hierarchy process–based method for fuzzy classification in sorting problems." Journal of the Operational Research Society 71, no. 6 (June 4, 2019): 928–47. http://dx.doi.org/10.1080/01605682.2019.1595188.

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37

Ossadnik, Wolfgang, Stefanie Schinke, and Ralf H. Kaspar. "Group Aggregation Techniques for Analytic Hierarchy Process and Analytic Network Process: A Comparative Analysis." Group Decision and Negotiation 25, no. 2 (July 19, 2015): 421–57. http://dx.doi.org/10.1007/s10726-015-9448-4.

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38

Park, Byung-Seg, and Ho-Gyu Choi. "A Case Study on the Specialization of Small and Medium-sized Hospitals Using Analytic Hierarchy Process-Based." Korean Review of Corporation Management 11, no. 1 (February 29, 2020): 191–213. http://dx.doi.org/10.20434/kricm.2020.02.11.1.191.

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39

Ki, Kyungseok. "Determining Policy Priorities for Energy Grant Aid Projects Using Analytic Hierarchy Process." Journal of International Development Cooperation 14, no. 2 (December 2019): 57–74. http://dx.doi.org/10.34225/jidc.2019.14.2.57.

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40

Sipahi, Seyhan, and Mehpare Timor. "The analytic hierarchy process and analytic network process: an overview of applications." Management Decision 48, no. 5 (June 2010): 775–808. http://dx.doi.org/10.1108/00251741011043920.

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41

Gorbanev, Iouri, Ariel Cortes, and Sandra Agudelo-Londoño. "Redesign of the Attention Process of Patients with Rheumatologic Diseases: Assessing the Performance with Analytic Hierarchy Process." Advances in Operations Research 2017 (2017): 1–6. http://dx.doi.org/10.1155/2017/6367037.

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Objective. To compare the Business process management and the analytic hierarchy process as the tools of process performance assessment. Instruments and Methods. Case study of the attention process of rheumatology patients. Business process management and analytic hierarchy process were applied to assess the redesign of the attention process. The two methods were compared. The data were obtained through personal observations, an interview with a Colombian health insurer’s senior executive, and retrospective documentary analysis. Results. Both methods assessed the process redesign as an improvement. While Business process management made a qualitative evaluation, the analytic hierarchy process allowed for a quantitative approach. Conclusions. Business process management is helpful in process performance assessment because it offers a conceptual foundation. Analytic hierarchy process is a complement which makes the intuitions based on business process management rigorous.
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42

WAKABAYASHI, Taka'aki, Tamotsu MITAMURA, and Azuma OHUCHI. "Analytic Hierarchy Process Based on Ordinal Scale." Journal of Japan Society for Fuzzy Theory and Systems 9, no. 1 (1997): 108–14. http://dx.doi.org/10.3156/jfuzzy.9.1_108.

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43

Farhan, J., and T. F. Fwa. "Pavement Maintenance Prioritization Using Analytic Hierarchy Process." Transportation Research Record: Journal of the Transportation Research Board 2093, no. 1 (January 2009): 12–24. http://dx.doi.org/10.3141/2093-02.

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44

Holder, R. D. "Some Comments on the Analytic Hierarchy Process." Journal of the Operational Research Society 41, no. 11 (November 1990): 1073. http://dx.doi.org/10.2307/2582904.

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45

Wang, Zhou-Jing. "Eigenproblem driven triangular fuzzy analytic hierarchy process." Information Sciences 578 (November 2021): 795–816. http://dx.doi.org/10.1016/j.ins.2021.08.051.

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46

Battistoni, Elisa, Andrea Fronzetti Colladon, Laura Scarabotti, and Massimiliano M. Schiraldi. "Analytic Hierarchy Process for New Product Development." International Journal of Engineering Business Management 5 (January 1, 2013): 42. http://dx.doi.org/10.5772/56816.

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The success of a New Product Development (NPD) process strongly depends on the deep comprehension of market needs and Analytic Hierarchy Process (AHP) has been commonly used to find weights for customers' preferences. AHP best practices suggest that low-consistency respondents should be considered untrustworthy; however, in some NPD cases – such as the one presented here – this stake can be extremely big. This paper deals with the usage of AHP methodology to define the weights of customer needs connected to the NPD process of a typical impulse buying good, a snack. The aim of the paper is to analyse in a critical way the opportunity to exclude or include non-consistent respondents in market analysis, addressing the following question: should a non-consistent potential customer be excluded from the analysis due to his inconsistency or should he be included because, after all, he is still a potential consumer? The chosen methodological approach focuses on evaluating the compatibility of weight vectors among different subsets of respondents, filtered according to their consistency level. Results surprisingly show that weights do not significantly change when non-consistent respondents are excluded.
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47

Saaty, Thomas L. "Axiomatic Foundation of the Analytic Hierarchy Process." Management Science 32, no. 7 (July 1986): 841–55. http://dx.doi.org/10.1287/mnsc.32.7.841.

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48

Khasnabis, Snehamay, and Bharat B. Chaudhry. "Prioritizing Transit Markets Using Analytic Hierarchy Process." Journal of Transportation Engineering 120, no. 1 (January 1994): 74–93. http://dx.doi.org/10.1061/(asce)0733-947x(1994)120:1(74).

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49

Bodin, Lawrence, and Saul I. Gass. "Exercises for Teaching the Analytic Hierarchy Process." INFORMS Transactions on Education 4, no. 2 (January 2004): 1–13. http://dx.doi.org/10.1287/ited.4.2.1.

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50

DANG, HUNG. "ON SENSITIVITY RANKING USING ANALYTIC HIERARCHY PROCESS." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15, supp02 (April 2007): 67–73. http://dx.doi.org/10.1142/s0218488507004613.

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We present an application of the Analytic Hierarchy Process (AHP) in the sensitivity analysis of a multi-parameter decision support problem. In this problem, the Multi-Parametric Sensitivity Analysis (MPSA) appears appropriate and is employed. A drawback of MPSA is that it only produces a sensitivity comparison between every two parameters, and does not offer a systematic method for ranking all parameters at once. Without the overall sensitivity ranking, it is difficult to interpret the analysis result from MPSA, especially when the number of parameters is large. Our paper shows that AHP can be used to perform such ranking based on MPSA's pair-wise comparisons.
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