Academic literature on the topic 'Analytic Hierarchy Process'

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Journal articles on the topic "Analytic Hierarchy Process"

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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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Analytic Hierarchy Process"

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Hermansson, Anders. "Analytic Hierarchy Process : en kritisk genomgång." Thesis, Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-17048.

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Analytic Hierarchy Process, AHP, är en spridd och mycket omdiskuterad metod för att analysera multikriterieproblem. Syftet med uppsatsen är göra beslutsfattare som använder AHP uppmärksamma på några av de problem som kan finnas med att använda AHP. Uppsatsen redogör detaljerat för hur beslutsfattarens indata behandlas av AHP och visar både med ett konkret exempel och med en formell beskrivning hur en rangordning av alternativ genereras av AHP. Den detaljerade redogörelsen illustrerar att AHP bygger på additiv nyttofunktion vilket döljs för användare av programvaror utvecklade för AHP. Vidare belyses andra drag i AHPs behandling av indata, drag som i flera fall döljs för användaren.
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Alford, Brian David. "Two applications involving the analytic hierarchy process." College Park, Md. : University of Maryland, 2004. http://hdl.handle.net/1903/2131.

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Thesis (M.S.) -- University of Maryland, College Park, 2004.
Thesis research directed by: Robert H. Smith School of Business. Dept. of Decision and Information Technologies. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Tabar, Matthew J. "Analysis of decisions made using the analytic hierarchy process." Thesis, Monterey, California: Naval Postgraduate School, 2013. http://hdl.handle.net/10945/37727.

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Approved for public release; distribution is unlimited
This thesis analyzes the use of the Analytic Hierarchy Process (AHP) as a decision-making tool. The analysis shows what information can be gained about a military decision-maker who uses the AHP, and how this information can be utilized, permitting U.S. and allied forces to execute efficient and effective military operations. A case study of the AHP decision-making process demonstrates techniques that can be used to garner information about the decision-maker and potentially influence their future decisions.
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Folea, Ion. "Utvärdering av onlineversionen av MakeItRational – vilken metod som används för att beräkna vikter på basis av parvisa jämförelser?" Thesis, Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-16974.

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Syftet med denna uppsats är att utvärdera onlineversionen av programvaran MakeItRational med avseende på metoden som används för att beräkna så kallade vikter (weights) på basis av parvisa jämförelser. Studiens teoretiska del bygger på T.L. Saatys analytic hierarchy process (AHP). Större vikt läggs på tillämpningen av AHP-metoden med tonvikt på beräkning av vikter och hantering av parvisa jämförelsematriser. Uppsatsen empiriska del bygger på två beslutsanalyser utförda med hjälp av onlineversionen av MakeItRational och motsvarande egna beräkningar. Studiens resultat indikerar att onlineversionen av MakeItRational använder högeregenvektorsmetoden för att beräkna vikter.
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Missakian, Mario Sarkis. "Automated Support for Model Selection Using Analytic Hierarchy Process." NSUWorks, 2011. http://nsuworks.nova.edu/gscis_etd/249.

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Providing automated support for model selection is a significant research challenge in model management. Organizations maintain vast growing repositories of analytical models, typically in the form of spreadsheets. Effective reuse of these models could result in significant cost savings and improvements in productivity. However, in practice, model reuse is severely limited by two main challenges: (1) lack of relevant information about the models maintained in the repository, and (2) lack of end user knowledge that prevents them from selecting appropriate models for a given problem solving task. This study built on the existing model management literature to address these research challenges. First, this research captured the relevant meta-information about the models. Next, it identified the features based on which models are selected. Finally, it used Analytic Hierarchy Process (AHP) to select the most appropriate model for any specified problem. AHP is an established method for multi-criteria decision-making that is suitable for the model selection task. To evaluate the proposed method for automated model selection, this study developed a simulated prototype system that implemented this method and tested it in two realistic end-user model selection scenarios based on previously benchmarked test problems.
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Okada, Hiroaki. "Application of the analytic hierarchy process to irrigation project improvement /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2005. http://uclibs.org/PID/11984.

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Canbolat, Mustafa Serdal. "Supplier selection in e-procurement using fuzzy analytic hierarchy process." Thesis, University of Ottawa (Canada), 2005. http://hdl.handle.net/10393/26862.

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In today's competitive business world, it is important for decision makers to have access to decision support tools. One of these decision making areas is supplier selection in e-procurement. Supplier selection is a multi-criteria decision making process that deals with the optimization of conflicting objectives. If it is not supported by a system, this would be a complex and time consuming process. In spite of the fact that the term "supplier selection" is commonly used in the literature, few efforts have been dedicated to develop a system based on any of these methods. In this thesis, we propose a web based supplier selection decision support system based on the fuzzy analytic hierarchy process (AHP) method. To validate our choice of the Fuzzy AHP model and also to validate the conceptual design of our supplier selection decision support system, we conducted a case study in a local hospital.
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Liu, Xiaoyu. "Preliminary bidding model using analytic hierarchy process and genetic algorithms." Thesis, California State University, Long Beach, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10116162.

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A bidding process is one of the main activities of construction project management. For general contractors, the chance of awarding projects in a bidding process directly relies on the success of selecting the best subcontractor. Therefore, an effective and accurate method of choosing subcontractors affect directly on the profit earned by the general contractors. Traditionally, a general contractor makes selection decision based on its managers’ subjective opinion regarding subcontractors’ price quotations. This approach in selecting subcontractors may result in low efficiency and quality of work. This thesis presents an Analytic Hierarchy Process (AHP) method considering the weight of each factor when a subcontractor is valued. The Genetic Algorithm method is on the basis of AHP for dealing with the subcontractor selection to establish a subcontractor value rating system. A real project example is explained and evaluated to demonstrate the feasibility of the method. This thesis is of value to general contractor with a regard to providing a tool for bidding process in the early stage of construction projects.

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Latora, Antonio Giuseppe. "Metodologie Analytic Hierarchy Process ibride per applicazioni di Multiple Criteria Decision Analysis ai processi di Procurement." Doctoral thesis, Università di Catania, 2012. http://hdl.handle.net/10761/1040.

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Costi e benefici connessi alle decisioni che quotidianamente caratterizzano la vita dell uomo, discendono dai molteplici e spesso contrastanti punti di vista o criteri utilizzati nell attività di decision making divenuta oggetto di approfonditi e recenti studi afferenti ad una vera e propria disciplina matematica definita Multiple Criteria Decision Analysis. Ogni decisione non rappresenta esclusivamente un atto di scelta bensì il risultato di un processo decisionale di comprensione e modellazione del problema ovverosia una serie di attività che consentono la trasformazione del problema in soluzione determinando nel decision maker un passaggio di stato psicologico da una percezione di insoddisfazione ad una di soddisfazione. Gli studi realizzati in ambito MCDA hanno originato due differenti scuole di pensiero: la scuola francese basata principalmente sul concetto di outranking e la scuola americana delle Multi - Attribute Utility and Value Theories; a quest ultima appartiene l Analytic Hierarchy Process, metodologia MCDA sviluppata da Thomas Lorie Saaty al fine operare il ranking di un numero definito o indefinito di alternative; il confronto a coppie, ovverosia la misurazione dell importanza relativa tra potenziali azioni o alternative, secondo un criterio o punto di vista di livello superiore, consente infatti la determinazione di una scala di priorità per entità intangibili, per definizione prive di scale di misura, ma anche per entità tangibili valutabili in topologia metrica su idonee scale di misura. Obiettivo della tesi di dottorato è stato lo studio, finalizzato alla modifica e all applicazione, della metodologia MCDA AHP al procurement, processo di ingegneria gestionale dedicato all approvvigionamento di beni e servizi nel contesto di una generica value chain. L e-procurement è una realtà consolidata nei contesti business-to-consumer, business-to-business e business-to-government, ma il modello concernente il generico processo di approvvigionamento, dato l odierno stato dell arte dell ICT applicata al procurement, non può considerarsi standard di riferimento poiché elaborato in un epoca caratterizzata da sistemi informativi ed informatici indubbiamente differenti dagli attuali riguardo a tecnologie e schemi concettuali. La metodologia Hybrid Analytic Hierarchy Process oggetto di ricerca, ha tratto origine dalla definizione di Saaty secondo la quale un numero non ha alcun significato se non quello assegnato ad esso da chi è chiamato ad interpretarlo . In un contesto caratterizzato da grandezze quali - quantitative, le metodologie ibride H-AHP-R ed H-AHP-A si caratterizzano poiché consentono il ranking parallelo e seriale di un numero definito o indefinito di alternative mediante lean MCDA ovverosia mediante calcolo diretto NO-AHP del rating ideale con riferimento ai criteri quantitativi e mediante calcolo AHP-R ed AHP-A del rating ideale riferito ai criteri qualitativi. Disegnando un processo di lean e scouting basato su metodologia MCDA H-AHP-A, lo studio eseguito, relativamente a specifiche tipologie di acquisti, ha re-ingegnerizzato parzialmente il generico processo di approvvigionamento, con l obiettivo di rendere razionale, efficiente, efficace e conforme ai criteri di valutazione individuati, la scelta dell alternativa di approvvigionamento nell universo delle soluzioni individuate sul web, al fine di massimizzare il valore dell acquisto e minimizzare i tempi di scelta.
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Anghel, Mugur Calin. "Study of comparison between analytic hierarchy process (AHP) and analytic network process (ANP) regarding decision-making in GIS." Connect to resource, 2002. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1264120138.

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Books on the topic "Analytic Hierarchy Process"

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Emrouznejad, Ali, and William Ho. Fuzzy Analytic Hierarchy Process. Boca Raton : CRC Press, 2017.: Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/9781315369884.

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Golden, Bruce L., Edward A. Wasil, and Patrick T. Harker, eds. The Analytic Hierarchy Process. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-50244-6.

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Brunelli, Matteo. Introduction to the Analytic Hierarchy Process. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12502-2.

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Golden, Bruce L. The Analytic Hierarchy Process: Applications and Studies. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989.

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Alphonce, Christian B. Handling large scale analytic hierarchy process problems. Dublin: University College Dublin, Dept of Management Information Systems, 1995.

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Ahlert, Martin. Einsatz des Analytic Hierarchy Process im Relationship Marketing. Wiesbaden: Gabler Verlag, 2003. http://dx.doi.org/10.1007/978-3-322-96480-9.

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Saaty, Thomas L. The analytic hierarchy process series: Vols. 3 & 4. Pittsburgh: RWS publications, 1991.

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C, Patton Peter, and Jayaswal Bijay K. 1949-, eds. The analytic hierarchy process (AHP) in software development. Upper Saddle River, N.J: Prentice Hall, 2007.

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Bhushan, Navneet. Strategic decision making: Applying the analytic hierarchy process. London: Springer, 2004.

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Saaty, Thomas L. Models, methods, concepts & applications of the analytic hierarchy process. Boston: Kluwer Academic Publishers, 2001.

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Book chapters on the topic "Analytic Hierarchy Process"

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Mendes, Paulo. "Analytic Hierarchy Process." In Demand Driven Supply Chain, 149–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19992-9_6.

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Saaty, Thomas L. "Analytic hierarchy process." In Encyclopedia of Operations Research and Management Science, 19–28. New York, NY: Springer US, 2001. http://dx.doi.org/10.1007/1-4020-0611-x_31.

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Tscheulin, Dieter K. "Analytic Hierarchy Process." In Marktforschung, 579–606. Wiesbaden: Gabler Verlag, 2000. http://dx.doi.org/10.1007/978-3-322-94547-1_19.

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Tscheulin, Dieter K. "Analytic Hierarchy Process." In Marktforschung, 579–606. Wiesbaden: Gabler Verlag, 1999. http://dx.doi.org/10.1007/978-3-322-99692-3_19.

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Danner, Marion, and Andreas Gerber-Grote. "Analytic Hierarchy Process." In Patient Involvement in Health Technology Assessment, 135–47. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4068-9_11.

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Saaty, Thomas L. "Analytic Hierarchy Process." In Encyclopedia of Operations Research and Management Science, 52–64. Boston, MA: Springer US, 2013. http://dx.doi.org/10.1007/978-1-4419-1153-7_31.

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Gomes, Maria Isabel, and Nelson Chibeles Martins. "Analytic Hierarchy Process." In Mathematical Models for Decision Making with Multiple Perspectives, 91–116. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003015154-5.

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Golden, Bruce L., Edward A. Wasil, and Patrick T. Harker. "Introduction." In The Analytic Hierarchy Process, 1–2. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-50244-6_1.

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Lewis, Robert, and Doug E. Levy. "Predicting a National Acid Rain Policy." In The Analytic Hierarchy Process, 155–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-50244-6_10.

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Might, Robert J., and William D. Daniel. "Decision Support for War Games." In The Analytic Hierarchy Process, 171–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-50244-6_11.

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Conference papers on the topic "Analytic Hierarchy Process"

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Li, Jing. "Analytic Hierarchy Process Automatically." In ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3469213.3470276.

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Partovi, Fariborz Y., and Cynthia A. Conway. "Enhancing the Sales Process Using Analytic Network Process." In International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 2014. http://dx.doi.org/10.13033/isahp.y2014.085.

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Liu, Bao. "Group Judgments and Analytic Hierarchy Process." In The International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 1991. http://dx.doi.org/10.13033/isahp.y1991.020.

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Saaty, Thomas L. "Fundamental of the Analytic Hierarchy Process." In The International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 1999. http://dx.doi.org/10.13033/isahp.y1999.038.

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Hao, Gang, K. K. Lai, and Kaoru Tone. "Efficiency Analysis Using the Analytic Hierarchy Process." In The International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 1996. http://dx.doi.org/10.13033/isahp.y1996.033.

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Oztaysi, Basar, Sezi Cevik Onar, Eda Bolturk, and Cengiz Kahraman. "Hesitant fuzzy analytic hierarchy process." In 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2015. http://dx.doi.org/10.1109/fuzz-ieee.2015.7337948.

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Mu, Enrique, Orrin Cooper, and Michael Peasley. "IMPROVING ANALYTIC NETWORK PROCESS REPORTING." In The International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 2018. http://dx.doi.org/10.13033/isahp.y2018.030.

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Lipovetsky, Stan. "Parameters of Optimum Hierarchy Structure in AHP." In International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 2014. http://dx.doi.org/10.13033/isahp.y2014.134.

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Axis , Iwan J. "Reciting Trade Conflicts Using Analytic Hierarchy Process." In The International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 1996. http://dx.doi.org/10.13033/isahp.y1996.059.

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Jablonsky , Josef. "The Interval Analytic Hierarchy Process: Simulation Experiments." In The International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 1999. http://dx.doi.org/10.13033/isahp.y1999.071.

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Reports on the topic "Analytic Hierarchy Process"

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Uppuluri, V. (Symposium on the Analytic Hierarchy Process). Office of Scientific and Technical Information (OSTI), September 1988. http://dx.doi.org/10.2172/7091076.

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Hulme, B. L. Budget allocation and the analytic hierarchy process. Office of Scientific and Technical Information (OSTI), October 1990. http://dx.doi.org/10.2172/6116393.

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Banerjee, Soumyadeep, Avash Pandey, Bal Krishna Jamarkattel, Jagannath Joshi, Barsha R. Gurung, and Arabinda Mishra. Using the Analytic Hierarchy Process to support decision making on climate change adaptation. Kathmandu, Nepal: International Centre for Integrated Mountain Development (ICIMOD), 2020. http://dx.doi.org/10.53055/icimod.779.

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Banerjee, Soumyadeep, Avash Pandey, Bal Krishna Jamarkattel, Jagannath Joshi, Barsha R. Gurung, and Arabinda Mishra. Using the Analytic Hierarchy Process to support decision making on climate change adaptation. Kathmandu, Nepal: International Centre for Integrated Mountain Development (ICIMOD), 2020. http://dx.doi.org/10.53055/icimod.779.

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Krupa, J. F. Evaluation of feeds for melt and dilute process using an analytical hierarchy process. Office of Scientific and Technical Information (OSTI), March 2000. http://dx.doi.org/10.2172/753548.

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Watkins, J. C., and L. S. Ghan. AHP Version 5. 1 user's manual. [Analytical Hierarchy Process (AHP)]. Office of Scientific and Technical Information (OSTI), October 1992. http://dx.doi.org/10.2172/6603795.

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Marold, Juliane, Ruth Wagner, Markus Schöbel, and Dietrich Manzey. Decision-making in groups under uncertainty. Fondation pour une culture de sécurité industrielle, February 2012. http://dx.doi.org/10.57071/361udm.

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The authors have studied daily decision-making processes in groups under uncertainty, with an exploratory field study in the medical domain. The work follows the tradition of naturalistic decision-making (NDM) research. It aims to understand how groups in this high reliability context conceptualize and internalize uncertainties, and how they handle them in order to achieve effective decision-making in their everyday activities. Analysis of the survey data shows that uncertainty is thought of in terms of issues and sources (as identified by previous research), but also (possibly a domain-specific observation) as a lack of personal knowledge or skill. Uncertainty is accompanied by emotions of fear and shame. It arises during the diagnostic process, the treatment process and the outcome of medical decision making. The most frequently cited sources of uncertainty are partly lacking information and inadequate understanding owing to instability of information. Descriptions of typical group decisions reveal that the individual himself is a source of uncertainty when a lack of knowledge, skills and expertise is perceived. The group can serve as a source of uncertainty if divergent opinions in the decision making group exist. Three different situations of group decisions are identified: Interdisciplinary regular meetings (e.g. tumor conferences), formal ward meetings and ad hoc consultations. In all healthcare units concerned by the study, only little use of structured decision making procedures and processes is reported. Strategies used to handle uncertainty include attempts to reduce uncertainty by collecting additional information, delaying action until more information is available or by soliciting advice from other physicians. The factors which ultimately determine group decisions are hierarchy (the opinion of more senior medical staff carries more weight than that of junior staff), patients’ interest and professional competence. Important attributes of poor group decisions are the absence of consensus and the use of hierarchy as the predominant decision criterion. On the other hand, decisions judged to be effective are marked by a sufficient information base, a positive discussion culture and consensus. The authors identify four possible obstacles to effective decision making: a steep hierarchy gradient, a poor discussion culture, a strong need for consensus, and insufficient structure and guidance of group decision making processes. A number of intervention techniques which have been shown in other industries to be effective in improving some of these obstacles are presented.
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Omar, Farhad, Steven T. Bushby, and Ronald D. Williams. Assessing the performance of residential energy management control algorithms: multi-criteria decision making using the analytical hierarchy process. Gaithersburg, MD: National Institute of Standards and Technology, September 2018. http://dx.doi.org/10.6028/nist.tn.2017.

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9

Khvostina, Inesa, Serhiy Semerikov, Oleh Yatsiuk, Nadiia Daliak, Olha Romanko, and Ekaterina Shmeltser. Casual analysis of financial and operational risks of oil and gas companies in condition of emergent economy. [б. в.], October 2020. http://dx.doi.org/10.31812/123456789/4120.

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Abstract:
The need to control the risk that accompanies businesses in their day- to-day operations, and at the same time changing economic conditions make risk management an almost indispensable element of economic life. Selection of the main aspects of the selected phases of the risk management process: risk identification and risk assessment are related to their direct relationship with the subject matter (risk identification to be managed; risk analysis leading to the establishment of a risk hierarchy, and, consequently, the definition of risk control’ methods) and its purpose (bringing the risk to acceptable level). It is impossible to identify the basic patterns of development of the oil and gas industry without exploring the relationship between economic processes and enterprise risks. The latter are subject to simulation, and based on models it is possible to determine with certain probability whether there have been qualitative and quantitative changes in the processes, in their mutual influence on each other, etc. The work is devoted to exploring the possibilities of applying the Granger test to examine the causal relationship between the risks and obligations of oil and gas companies. The analysis is based on statistical tests and the use of linear regression models.
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10

Downes, Jane, ed. Chalcolithic and Bronze Age Scotland: ScARF Panel Report. Society for Antiquaries of Scotland, September 2012. http://dx.doi.org/10.9750/scarf.09.2012.184.

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The main recommendations of the panel report can be summarised under five key headings:  Building the Scottish Bronze Age: Narratives should be developed to account for the regional and chronological trends and diversity within Scotland at this time. A chronology Bronze Age Scotland: ScARF Panel Report iv based upon Scottish as well as external evidence, combining absolute dating (and the statistical modelling thereof) with re-examined typologies based on a variety of sources – material cultural, funerary, settlement, and environmental evidence – is required to construct a robust and up to date framework for advancing research.  Bronze Age people: How society was structured and demographic questions need to be imaginatively addressed including the degree of mobility (both short and long-distance communication), hierarchy, and the nature of the ‘family’ and the ‘individual’. A range of data and methodologies need to be employed in answering these questions, including harnessing experimental archaeology systematically to inform archaeologists of the practicalities of daily life, work and craft practices.  Environmental evidence and climate impact: The opportunity to study the effects of climatic and environmental change on past society is an important feature of this period, as both palaeoenvironmental and archaeological data can be of suitable chronological and spatial resolution to be compared. Palaeoenvironmental work should be more effectively integrated within Bronze Age research, and inter-disciplinary approaches promoted at all stages of research and project design. This should be a two-way process, with environmental science contributing to interpretation of prehistoric societies, and in turn, the value of archaeological data to broader palaeoenvironmental debates emphasised. Through effective collaboration questions such as the nature of settlement and land-use and how people coped with environmental and climate change can be addressed.  Artefacts in Context: The Scottish Chalcolithic and Bronze Age provide good evidence for resource exploitation and the use, manufacture and development of technology, with particularly rich evidence for manufacture. Research into these topics requires the application of innovative approaches in combination. This could include biographical approaches to artefacts or places, ethnographic perspectives, and scientific analysis of artefact composition. In order to achieve this there is a need for data collation, robust and sustainable databases and a review of the categories of data.  Wider Worlds: Research into the Scottish Bronze Age has a considerable amount to offer other European pasts, with a rich archaeological data set that includes intact settlement deposits, burials and metalwork of every stage of development that has been the subject of a long history of study. Research should operate over different scales of analysis, tracing connections and developments from the local and regional, to the international context. In this way, Scottish Bronze Age studies can contribute to broader questions relating both to the Bronze Age and to human society in general.
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