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Journal articles on the topic 'Multiple criteria analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Nuthall, P. L. "MULTIPLE CRITERIA ANALYSIS." Agricultural Economics 5, no. 2 (1991): 174–78. http://dx.doi.org/10.1111/j.1574-0862.1991.tb00147.x.

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2

Flores, Benito E., and D. Clay Whybark. "Multiple Criteria ABC Analysis." International Journal of Operations & Production Management 6, no. 3 (1986): 38–46. http://dx.doi.org/10.1108/eb054765.

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3

Zavadskas, E. K., A. Kaklauskas, N. Lepkova, and J. Zalatorius. "FACILITIES MANAGEMENT MULTIPLE CRITERIA ANALYSIS." Statyba 7, no. 6 (2001): 481–89. http://dx.doi.org/10.1080/13921525.2001.10531776.

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4

Antoine, Jacques, Günther Fischer, and Marek Makowski. "Multiple criteria land use analysis." Applied Mathematics and Computation 83, no. 2-3 (1997): 195–215. http://dx.doi.org/10.1016/s0096-3003(96)00190-7.

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5

Flores, Benito E., and D. Clay Whybark. "Implementing multiple criteria ABC analysis." Journal of Operations Management 7, no. 1-2 (1987): 79–85. http://dx.doi.org/10.1016/0272-6963(87)90008-8.

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6

Flores, Benito E., and D. Clay Whybark. "Implementing multiple criteria ABC analysis." Engineering Costs and Production Economics 15 (May 1989): 191–95. http://dx.doi.org/10.1016/0167-188x(89)90124-9.

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7

Nijkamp, Peter. "MULTIPLE CRITERIA ANALYSIS AND INTEGRATED IMPACT ANALYSIS." Impact Assessment 4, no. 3-4 (1986): 226–61. http://dx.doi.org/10.1080/07349165.1986.9725786.

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8

Nijkamp, Peter, Hans Schaffers, and Jaap Spronk. "Multiple futures and multiple discount rates in multiple criteria analysis." Project Appraisal 4, no. 1 (1989): 2–8. http://dx.doi.org/10.1080/02688867.1989.9726699.

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9

Haimes, Yacov Y. "Multiple-criteria decisionmaking: A retrospective analysis." IEEE Transactions on Systems, Man, and Cybernetics SMC-15, no. 3 (1985): 313–15. http://dx.doi.org/10.1109/tsmc.1985.6313365.

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10

Kaftanowicz, Michał, and Michał Krzemiński. "Multiple-criteria Analysis of Plasterboard Systems." Procedia Engineering 111 (2015): 364–70. http://dx.doi.org/10.1016/j.proeng.2015.07.102.

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11

Kostreva, Michael M., Włodzimierz Ogryczak, and Adam Wierzbicki. "Equitable aggregations and multiple criteria analysis." European Journal of Operational Research 158, no. 2 (2004): 362–77. http://dx.doi.org/10.1016/j.ejor.2003.06.010.

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12

McGregor, Murray. "Multiple criteria analysis for agricultural decisions." Agricultural Systems 33, no. 3 (1990): 291–92. http://dx.doi.org/10.1016/0308-521x(90)90056-v.

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13

Greene, Randal, Rodolphe Devillers, Joan E. Luther, and Brian G. Eddy. "GIS-Based Multiple-Criteria Decision Analysis." Geography Compass 5, no. 6 (2011): 412–32. http://dx.doi.org/10.1111/j.1749-8198.2011.00431.x.

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14

Chen, Ye, D. Marc Kilgour, and Keith W. Hipel. "Screening in multiple criteria decision analysis." Decision Support Systems 45, no. 2 (2008): 278–90. http://dx.doi.org/10.1016/j.dss.2007.12.017.

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15

Brožová, H. "The analytic hierarchy process for the decision tree with multiple criteria." Agricultural Economics (Zemědělská ekonomika) 50, No. 2 (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 &lt;i&gt;m&lt;/i&gt; alternatives, &lt;i&gt;n&lt;/i&gt; states of nature and k&nbsp;criteria has to be solved in this case. Application of the Analytic Hierarchy Process (AHP) for solution of this problem is described

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16

Delias, Pavlos, Georgia Kyriakaki, Evangelos Grigoroudis, and Nikolaos Matsatsinis. "Innovation Management Software Exploiting Multiple Criteria Analysis." International Journal of Decision Support System Technology 4, no. 1 (2012): 30–42. http://dx.doi.org/10.4018/jdsst.2012010103.

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Innovation is a critical factor in building an organization’s culture of growth. Provided that it is properly blended with organizational development initiatives and aligned with the organization’s strategy, it supplies a compelling advantage for the growth process. Neglecting to encompass innovation in an organization’s culture could lead to shrinkage and even extinction, in the case of an intensively competitive market. Executive staff must consider innovative technologies and be aware of all growth opportunities. However, this staff is stressed under information overload. A need exists to r

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17

Reiff, Marian, Kvetoslava Surmanová, Adam P. Balcerzak, and Michał Bernard Pietrzak. "Multiple Criteria Analysis of European Union Agriculture." Journal of International Studies 9, no. 3 (2016): 62–74. http://dx.doi.org/10.14254/2071-8330.2016/9-3/5.

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18

Maliene, Vida. "Specialised property valuation: Multiple criteria decision analysis." Journal of Retail & Leisure Property 9, no. 5 (2011): 443–50. http://dx.doi.org/10.1057/rlp.2011.7.

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19

Malinauskas, P., and T. Petrašsenko. "MULTIPLE CRITERIA ANALYSIS OF DWELLING FACILITIES MAINTENANCE." Statyba 7, no. 2 (2001): 138–47. http://dx.doi.org/10.1080/13921525.2001.10531715.

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20

Barin, Alexandre, Luciane N. Canha, Alzenira R. Abaide, Karine F. Magnago, Breno Wottrich, and Ricardo Q. Machado. "Multiple Criteria Analysis for Energy Storage Selection." Energy and Power Engineering 03, no. 04 (2011): 557–64. http://dx.doi.org/10.4236/epe.2011.34069.

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21

Aydin Keskin, Gulsen, and Coskun Ozkan. "Multiple Criteria ABC Analysis with FCM Clustering." Journal of Industrial Engineering 2013 (December 18, 2013): 1–7. http://dx.doi.org/10.1155/2013/827274.

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The number of stock keeping units (SKUs) possessed by organizations can easily reach quite a few. An inventory management policy for each individual SKU is not economical to design. ABC analysis is one of the conventionally used approaches to classify SKUs. In the classical method, the SKUs are ranked with respect to the descending order of the annual dollar usage, which is the product of unit price and annual demand. The few of the SKUs that have the highest annual dollar usage are in group A and should be taken into account mostly; the SKUs with the least annual dollar usage are in group C a

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22

Kaklauskas, A., E. K. Zavadskas, A. Radzeviciene, et al. "Quality of city life multiple criteria analysis." Cities 72 (February 2018): 82–93. http://dx.doi.org/10.1016/j.cities.2017.08.002.

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23

Meyer, Patrick. "Progressive methods in multiple criteria decision analysis." 4OR 7, no. 2 (2008): 191–94. http://dx.doi.org/10.1007/s10288-008-0069-5.

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24

Hu, Pei-Chu, and Da-Wei Meng. "Normality criteria of meromorphic functions with multiple zeros." Journal of Mathematical Analysis and Applications 357, no. 2 (2009): 323–29. http://dx.doi.org/10.1016/j.jmaa.2009.04.016.

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25

Singh, Chanchal. "A class of multiple-criteria fractional programming problems." Journal of Mathematical Analysis and Applications 115, no. 1 (1986): 202–13. http://dx.doi.org/10.1016/0022-247x(86)90034-x.

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26

Balcerzak, Adam P. "Technological Potential of European Economy. Proposition of Measurement with Application of Multiple Criteria Decision Analysis." MONTENEGRIN JOURNAL OF ECONOMICS 12, no. 3 (2016): 7–17. http://dx.doi.org/10.14254/1800-5845.2016/12-3/1.

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27

Kvederytė, N., E. K. Zavadskas, and A. Kaklauskas. "MULTIPLE CRITERIA ANALYSIS OF A DWELLING LIFE CYCLE." Statyba 6, no. 3 (2000): 179–92. http://dx.doi.org/10.1080/13921525.2000.10531585.

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28

Bradley, Ralph A., and Frances P. Stewart. "Intrablock Analysis of Designs with Multiple Blocking Criteria." Journal of the American Statistical Association 86, no. 415 (1991): 792–97. http://dx.doi.org/10.1080/01621459.1991.10475111.

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29

Peldschus, Friedel. "MULTIPLE-CRITERIA ANALYSIS IN THE CONSTRUCTION OF MOTORWAYS." Technological and Economic Development of Economy 11, no. 1 (2005): 32–35. http://dx.doi.org/10.3846/13928619.2005.9637680.

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Several construction variants are discussed for the extension of the motorway network in Thuringia (Germany). The best variant is determined according to several criteria: construction period, costs, durability, environmental protection and economic viability. After the characterisation of the considered construction solutions a numerical comparison is made using the software LEVI 3.0. Thereby the optimal variant is chosen taking into account the mentionned criteria and the solution is explained.

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30

Janssen, Ron, and Peter Nijkamp. "A Typological Approach to Multiple Criteria Conflict Analysis." Conflict Management and Peace Science 9, no. 2 (1986): 45–53. http://dx.doi.org/10.1177/073889428600900204.

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31

Li, Xiao-Bai, and Gary R. Reeves. "A multiple criteria approach to data envelopment analysis." European Journal of Operational Research 115, no. 3 (1999): 507–17. http://dx.doi.org/10.1016/s0377-2217(98)00130-1.

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32

Hapke, Maciej, Andrzej Jaszkiewicz, and Roman Słowiński. "Interactive analysis of multiple-criteria project scheduling problems." European Journal of Operational Research 107, no. 2 (1998): 315–24. http://dx.doi.org/10.1016/s0377-2217(97)00336-6.

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33

Mullen, Jeffrey D. "Multiple criteria analysis for agricultural decisions, second edition." Agricultural Systems 82, no. 1 (2004): 96–97. http://dx.doi.org/10.1016/j.agsy.2004.02.006.

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34

Hatami-Marbini, Adel, and Mehdi Toloo. "An extended multiple criteria data envelopment analysis model." Expert Systems with Applications 73 (May 2017): 201–19. http://dx.doi.org/10.1016/j.eswa.2016.12.030.

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35

Chang, Chia-Ling. "A modified VIKOR method for multiple criteria analysis." Environmental Monitoring and Assessment 168, no. 1-4 (2009): 339–44. http://dx.doi.org/10.1007/s10661-009-1117-0.

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36

Ng, Wan Lung. "A simple classifier for multiple criteria ABC analysis." European Journal of Operational Research 177, no. 1 (2007): 344–53. http://dx.doi.org/10.1016/j.ejor.2005.11.018.

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37

Thokala, Praveen, and Alejandra Duenas. "Multiple Criteria Decision Analysis for Health Technology Assessment." Value in Health 15, no. 8 (2012): 1172–81. http://dx.doi.org/10.1016/j.jval.2012.06.015.

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38

Doyle, J., and R. Green. "Data envelopment analysis and multiple criteria decision making." Omega 21, no. 6 (1993): 713–15. http://dx.doi.org/10.1016/0305-0483(93)90013-b.

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39

Herath, Gamini. "Multiple Criteria Analysis for Agricultural Decisions, Second Edition." Ecological Economics 51, no. 1-2 (2004): 159–60. http://dx.doi.org/10.1016/j.ecolecon.2004.05.001.

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40

Prato, Tony, and Gamini Herath. "Multiple-criteria decision analysis for integrated catchment management." Ecological Economics 63, no. 2-3 (2007): 627–32. http://dx.doi.org/10.1016/j.ecolecon.2007.01.003.

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41

Carneiro, João, Luís Conceição, Diogo Martinho, Goreti Marreiros, and Paulo Novais. "Including cognitive aspects in multiple criteria decision analysis." Annals of Operations Research 265, no. 2 (2016): 269–91. http://dx.doi.org/10.1007/s10479-016-2391-1.

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42

Shi, Y., P. L. Yu, and D. Z. Zhang. "Eliminating Permanently Dominated Opportunities in Multiple-Criteria and Multiple-Constraint Level Linear Programming." Journal of Mathematical Analysis and Applications 183, no. 3 (1994): 685–705. http://dx.doi.org/10.1006/jmaa.1994.1175.

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43

Qin, Rui, Huchang Liao, and Lisheng Jiang. "A CRITERION UTILITY CONVERSION TECHNIQUE FOR PROBABILISTIC LINGUISTIC MULTIPLE CRITERIA ANALYSIS IN EMERGENCY MANAGEMENT." Technological and Economic Development of Economy 27, no. 5 (2021): 1207–26. http://dx.doi.org/10.3846/tede.2021.15051.

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In multiple criteria decision making (MCDM), the even swaps method uses the relationships of criteria to make trade-offs but the burdens of experts are heavy; the linear programming technique for multidimensional analysis of preference (LINMAP) method cannot deal with the inter-dependencies among criteria but the cognitive burdens of experts are low. Taking the advantages of both these methods, this study proposes a criterion utility conversion (CUC) technique to solve probabilistic linguistic MCDM problems given that the probabilistic linguistic term set (PLTS) can reflect the psychology of e

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44

Fordoni, Sarvar, and Rashid Melit. "Multiple Selections of Kashmir Tunnel Risk by Fuzzy Multiple-Criteria Decision Analysis." Journal of Bioinformatics and Intelligent Control 4, no. 1 (2015): 67–74. http://dx.doi.org/10.1166/jbic.2015.1115.

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45

Vanicek, Tomas, and Jana Kucerova. "New approach to decision making by multiple criteria analysis." MATEC Web of Conferences 146 (2018): 01002. http://dx.doi.org/10.1051/matecconf/201814601002.

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Many decision processes in technical and economical sciences require multiple criteria decision making. The most widely applied methods for multiple criteria evaluation of alternatives are based on the evaluation of alternatives in terms of an additive preference function. All of them require the estimation of weights of usually conflicting criteria. There are several methods how to find the weights of the criteria and how to find the evaluation of each solution in each criterion. The decision process based on simple weighted sum of values may not be the best approach in all situations. This p

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46

Francik, Sławomir, Norbert Pedryc, Adrian Knapczyk, Artur Wójcik, Renata Francik, and Bogusława Łapczyńska-Kordon. "Bibliometric analysis of multiple criteria decision making in agriculture." Technical Sciences 1, no. 20 (2016): 17–30. http://dx.doi.org/10.31648/ts.2906.

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Development trends (Research Trends) in scientific research on the methods of Multiple Criteria Decision Making (MCDM) and Multiple Criteria Decision Analysis (MCDA) in agriculture are analyzed. Established bibliometric techniques are applied. MCDA/MCDM methods are being very intensively developed in recent years, as evidenced by the number of scientific papers published annually in renowned scientific journals indexed in the Web of Science (WoS) database. In the years 1979-2015 a total of 1,355 scientific articles were collected in the database. The number of articles published annually incre

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47

Rogalska, Elżbieta. "Multiple-criteria analysis of regional entrepreneurship conditions in Poland." Equilibrium 13, no. 4 (2018): 707–23. http://dx.doi.org/10.24136/eq.2018.034.

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Research background: Building effective conditions for doing business and sup-porting entrepreneurs is currently considered as a basic growth determinant. It is a policy objective not only at the national level, but also an important factor influencing the competitive potential of regions and local communities. It is especially important in the case of Central European countries and regions that face the problem of closing development gap. Therefore, comparative research with regard to entrepreneurship conditions, especially at spatially lower aggregation level, can provide important backgroun

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48

K.R, Prema, Prabhalakshmi K.K, and Merin Jose. "MULTIPLE MYELOMA- ANALYSIS OF DIAGNOSTIC CRITERIA AND PROGNOSTIC FACTORS." Journal of Evidence Based Medicine and Healthcare 5, no. 50 (2018): 3440–45. http://dx.doi.org/10.18410/jebmh/2018/700.

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49

STAM, ANTONIE, and MARKKU KUULA. "Selecting a flexible manufacturing system using multiple criteria analysis." International Journal of Production Research 29, no. 4 (1991): 803–20. http://dx.doi.org/10.1080/00207549108930103.

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50

Ivlev, Ilya, Josef Jablonsky, and Peter Kneppo. "Multiple-criteria comparative analysis of magnetic resonance imaging systems." International Journal of Medical Engineering and Informatics 8, no. 2 (2016): 124. http://dx.doi.org/10.1504/ijmei.2016.075757.

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