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Journal articles on the topic 'Multi-criteria evaluatio'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2022

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1

Faramarzi, Hassan, Seyed Mohsen Hosseini, Hamid Reza Pourghasemi, and Mahdi Farnaghi. "Forest fire spatial modelling using ordered weighted averaging multi-criteria evaluation." Journal of Forest Science 67, No. 2 (2021): 87–100. http://dx.doi.org/10.17221/50/2020-jfs.

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Forest fires are a major environmental issue because they are increasing as a consequence of climate change and global warming. The present study was aimed to model forest fire hazard using the ordered weighted averaging (OWA) multi-criteria evaluation algorithm and to determine the role of human, climatic, and environmental factors in forest fire occurrence within the Golestan National Park (GNP), Iran. The database used for the present study was created according to daily classification of climate changes, environmental basic maps, and human-made influential forest fire factors. In the study

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2

Reza, F., Dr A. N. Kakon, and Md Z. Haq. "Landfill Site Selection of Savar Municipality, Bangladesh: A Multi Criteria Evaluation Approach." Lowland Technology International 18, no. 1 (2016): 41–50. http://dx.doi.org/10.14247/lti.18.1_41.

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3

El Hachami, Khadija, Youssef Lamrani Alaoui, and Mohamed Tkiouat. "Sectorial evaluation of Islamic banking contracts: a fuzzy multi-criteria-decision-making approach." Investment Management and Financial Innovations 16, no. 2 (2019): 370–82. http://dx.doi.org/10.21511/imfi.16(2).2019.31.

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Improving the efficiency and performance of microfinance investments is essential to achieve its objectives in terms of economic and social development. One parameter that influences such a performance is the kind of the activity exercised by the micro-entrepreneurs. The aim of this paper is to provide a decision-making guide to help both microfinance institutions and investors to choose the appropriate Islamic banking contract with respect to each sector of activity. To attain this goal, an Intuitionistic Fuzzy TOPSIS evaluation is conducted in collaboration with Moroccan Islamic finance expe

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4

Aliyev, Alovsat. "Modeling of multi-criteria expert evaluation of innovative prospects of the information economy sectors." Drukerovskij Vestnik, no. 4 (September 2020): 165–72. http://dx.doi.org/10.17213/2312-6469-2020-4-165-172.

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5

De Vries, Michiel S. "Stepwise multi-criteria evaluation." Quality and Quantity 26, no. 1 (1992): 61–76. http://dx.doi.org/10.1007/bf00177998.

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6

Oganesyants, Lev, Vladislav Semipyatniy, Aram Galstyan, Ramil Vafin, Sergey Khurshudyan, and Anastasia Ryabova. "Multi-criteria food products identification by fuzzy logic methods." Foods and Raw Materials 8, no. 1 (2020): 12–19. http://dx.doi.org/10.21603/2308-4057-2020-1-12-19.

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The paper deals with the theory of fuzzy sets as applied to food industry products. The fuzzy indicator function is shown as a criterion for determining the properties of the product. We compared the approach of fuzzy and probabilistic classifiers, their fundamental differences and areas of applicability. As an example, a linear fuzzy classifier of the product according to one-dimensional criterion was given and an algorithm for its origination as well as approximation is considered, the latter being sufficient for the food industry for the most common case with one truth interval where the in

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7

Scuderi, A., and L. Sturiale. "Multi-criteria evaluation model to face phytosanitary emergencies: The case of citrus fruits farming in Italy." Agricultural Economics (Zemědělská ekonomika) 62, No. 5 (2016): 205–14. http://dx.doi.org/10.17221/114/2015-agricecon.

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In the last decade, citrus fruits farming, at the international level, revealed an upward trend changing the traditional scenarios of the offer, with the exchange of products coming from all areas of the world, thanks to the progressive abrogation of fare barriers. The material exchange is causing spreading of diseases that have caused a severe damage, such as the epidemics and culture extinctions with a high economic, health, environmental and social impact. In such a context, the definition of possible methods to face the emergencies is absolutely necessary. This research suggests the adopti

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8

Synek, M., and M. Klimánek. "Proposal of using GIS for multi-criteria evaluation of environmentally friendly use of skidding technologies in forestry." Journal of Forest Science 60, No. 2 (2014): 51–60. http://dx.doi.org/10.17221/88/2013-jfs.

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The aim of the study was to propose and verify a model which, based on multi-criteria evaluation of selected input data, determines the category in terms of the environmentally friendly use of individual skidding technologies for each stand. A farm tractor, skidder, cable system, forwarders, and forwarders in combination with harvesters were selected as model skidding technologies. The selected input parameters included: slope inclination, ground bearing capacity, risk of logging-transportation erosion development, presence and size of obstacles, skidding distance, terrain shape and age of sta

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Olivkova, Ivana, and Dr Zuzana Svedova. "Application of Multi-criteria Evaluation Method for the Selection of Check-in System in Urban Public Transport." Paripex - Indian Journal Of Research 3, no. 8 (2012): 37–39. http://dx.doi.org/10.15373/22501991/august2014/10.

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10

Clímaco, João N., João A. Costa, Luis C. Dias, and Paulo Melo. "Supporting Collaborative Multi-Criteria Evaluation." International Journal of Decision Support System Technology 1, no. 4 (2009): 1–15. http://dx.doi.org/10.4018/jdsst.2009062601.

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This article presents the VIP Analysis plug-in of Decision Deck 1.1, a platform that hosts different evaluation methods to support decision makers in the collaborative evaluation of alternatives in a multi-criteria and multi-experts setting. VIP Analysis is a tool for aggregation of multicriteria performances by means of an additive value function under imprecise information. It allows conducting a multicriteria analysis for selecting an alternative when the decision makers are not able to (or do not wish to) fix precise values for the importance parameters. These parameters are seen as variab

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11

Vaišvilas, Vilius, and Raimonda Kaulienė. "Investment Portfolio Formation Using Multi-criteria evaluation Method MULTIMOORA." Mokslas - Lietuvos ateitis 9, no. 2 (2017): 209–19. http://dx.doi.org/10.3846/mla.2017.1018.

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Information that has to be analyzed by investors is complicated and can be interpreted differently by different people, which is why choosing what should be added to the investment portfolio is complicated task. Complexity grows substantially when there are more alternatives to choose from. Multi – criteria evaluation method can be used to choose the best alternatives. Multi–criteria evaluation method MULTIMOORA is not subjective because there is no need to decide ratio of any given variable that is evaluated. MULTIMOORA consists of: formation of ratio system, application of multi – criteria e

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12

Voynarenko, Mykhaylo, Mariia V. Dykha, Oksana Mykoliuk, Ludmyla Yemchuk, and Anastasiia Danilkova. "Assessment of an enterprise’s energy security based on multi-criteria tasks modeling." Problems and Perspectives in Management 16, no. 4 (2018): 102–16. http://dx.doi.org/10.21511/ppm.16(4).2018.10.

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Today Ukrainian business entities operate in conditions of macroeconomic instability, environmental disturbance, energy dependence on risk of instable and interrupted supply and high cost of energy resources, excessive energy consumption and inefficient use of fuel and energy resources, which requires immediate actions as for finding solutions to ensure energy security. The goal of the article is to solve multi-criteria tasks focused on making managerial decisions regarding the development of enterprise energy security system based on evaluation of influence of numerous factors. As a result of

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13

Jung. "A Study on Priority Evaluation of the Rope-type Platform Safety Door(RPSD) Installation by Multi-criteria Decision Analysis." Journal of the Korean Society of Civil Engineers 35, no. 3 (2015): 639. http://dx.doi.org/10.12652/ksce.2015.35.3.0639.

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14

Daniels, Richard L. "Analytical Evaluation of Multi-Criteria Heuristics." Management Science 38, no. 4 (1992): 501–13. http://dx.doi.org/10.1287/mnsc.38.4.501.

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15

Vaidya, Omkarprasad, and Manoj Hudnurkar. "Multi‐criteria supply chain performance evaluation." International Journal of Productivity and Performance Management 62, no. 3 (2013): 293–316. http://dx.doi.org/10.1108/17410401311309195.

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16

Sola, Ion, María González-Audícana, and Jesús Álvarez-Mozos. "Multi-criteria evaluation of topographic correction methods." Remote Sensing of Environment 184 (October 2016): 247–62. http://dx.doi.org/10.1016/j.rse.2016.07.002.

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17

Bryniarska, Zofia, and Lidia Zakowska. "Multi-criteria evaluation of public transport interchanges." Transportation Research Procedia 24 (2017): 25–32. http://dx.doi.org/10.1016/j.trpro.2017.05.063.

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18

Drejeris, Rolandas, and Arnas Kavolynas. "Multi-criteria Evaluation of Building Sustainability Behavior." Procedia - Social and Behavioral Sciences 110 (January 2014): 502–11. http://dx.doi.org/10.1016/j.sbspro.2013.12.894.

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19

Konidari, Popi, and Dimitrios Mavrakis. "Multi-criteria evaluation of climate policy interactions." Journal of Multi-Criteria Decision Analysis 14, no. 1-3 (2006): 35–53. http://dx.doi.org/10.1002/mcda.399.

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20

Pilavachi, P. A., C. P. Roumpeas, S. Minett, and N. H. Afgan. "Multi-criteria evaluation for CHP system options." Energy Conversion and Management 47, no. 20 (2006): 3519–29. http://dx.doi.org/10.1016/j.enconman.2006.03.004.

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21

Sipahi, Seyhan, and Oner Esen. "A multi‐criteria model for bidding evaluation." Management Decision 48, no. 2 (2010): 296–313. http://dx.doi.org/10.1108/00251741011022635.

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22

Afgan, Naim H., Petros A. Pilavachi, and Maria G. Carvalho. "Multi-criteria evaluation of natural gas resources." Energy Policy 35, no. 1 (2007): 704–13. http://dx.doi.org/10.1016/j.enpol.2006.01.015.

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23

Afgan, Naim H., Ayfer Veziroglu, and Maria G. Carvalho. "Multi-criteria evaluation of hydrogen system options." International Journal of Hydrogen Energy 32, no. 15 (2007): 3183–93. http://dx.doi.org/10.1016/j.ijhydene.2007.04.045.

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24

Golbabaie, F., S. R. Seyedalizadeh Ganji, and N. Arabshahi. "Multi-criteria evaluation of stacking yard configuration." Journal of King Saud University - Science 24, no. 1 (2012): 39–46. http://dx.doi.org/10.1016/j.jksus.2010.08.010.

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25

Chang, Yen Ching, Chun Ming Chang, Liang Hwa Chen, and Tung Jung Chan. "A Multi-Criteria Image Quality Evaluation Scheme." Applied Mechanics and Materials 284-287 (January 2013): 2975–79. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2975.

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It is difficult to objectively and quantitatively judge image quality by a single criterion, such as contrast. In general, excessive contrast enhancement easily leads to a loss of image quality. Thus, it easily gives a wrong evaluation to rank image quality according to contrast values. In order to achieve a consistent result with human vision perception, balancing multi-criteria will be a feasible approach. Therefore, we propose a multi-criteria image quality evaluation scheme for ranking seven existing contrast enhancement methods. The scheme applies four criteria to a newly proposed way of

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26

Szuba, Bogusław. "Multi-criteria evaluation of beauty in architecture." SAJ - Serbian Architectural Journal 11, no. 3 (2019): 369–96. http://dx.doi.org/10.5937/saj1903369s.

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The article deals with the problems of beauty in architecture found in various layers of meaning related to: (*) the creative idea of the planned investment; (*) the ability to determine the right place for the planned investment, harmonising architecture in the space of the location with special consideration of the natural environment; (*) communication and information with the environment; (*) respect for tradition and custom cultivated in the local socio-cultural environment, paying attention to the historical continuity and coherence of the architectural forms used; (*) creativity of shap

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27

Čarný, Štefan, Adrián Šperka, and Vladislav Zitrický. "Multi-criteria Evaluation of Railway Transport Using Evaluation Method." LOGI – Scientific Journal on Transport and Logistics 11, no. 2 (2020): 88–99. http://dx.doi.org/10.2478/logi-2020-0018.

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AbstractThe arrival of new customers along the new Iron Silk Road also brings new transport opportunities. The liberalization of railway transport has created many wagons over the railway market throughout the EU, especially in the field of freight transport. Choosing the preferable carrier that can fit the needs of customers is challenging. Each rail freight operator currently shapes its profile by focusing on a specific group of commodities as a matter of priority. By specializing, they gain a dominant market position in their sector that helps them to maintain and expand their clientele. Th

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28

Carpitella, Silvia, Bruno Brentan, Idel Montalvo, Joaquín Izquierdo, and Antonella Certa. "Multi-criteria analysis applied to multi-objective optimal pump scheduling in water systems." Water Supply 19, no. 8 (2019): 2338–46. http://dx.doi.org/10.2166/ws.2019.115.

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Abstract This work presents a multi-criteria-based approach to automatically select specific non-dominated solutions from a Pareto front previously obtained using multi-objective optimization to find optimal solutions for pump control in a water supply system. Optimal operation of pumps in these utilities is paramount to enable water companies to achieve energy efficiency in their systems. The Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) is used to rank the Pareto solutions found by the non-dominated sorting genetic algorithm (NSGA-II) employed to solve the

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29

Macek, D., and D. Měšťanová. "Multi-Criteria Evaluation of Crash Barrier Systems Types." Baltic Journal of Road and Bridge Engineering 4, no. 3 (2009): 108–14. http://dx.doi.org/10.3846/1822-427x.2009.4.108-114.

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30

Zavadskas, Edmundas Kazimieras, Algimantas Zakarevicius, and Jurgita Antucheviciene. "Evaluation of Ranking Accuracy in Multi-Criteria Decisions." Informatica 17, no. 4 (2006): 601–18. http://dx.doi.org/10.15388/informatica.2006.158.

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31

Witkowski, Tadeusz, Paweł Antczak, and Arkadiusz Antczak. "Project Realization Scheduling and its Multi Criteria Evaluation." Foundations of Management 1, no. 2 (2009): 25–44. http://dx.doi.org/10.2478/v10238-012-0009-8.

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Project Realization Scheduling and its Multi Criteria EvaluationThe paper focuses on project scheduling classification issues according to the type of constraints and optimization directions. Special attention was paid to production scheduling, presenting the basic issues in relation with product flow organizational criterion. Open-cluster issue was formulated and analyzed with the use of modern heuristics. Solution was evaluated with multiple criteria, mainly on the basis of time characteristics. Production process flow relations, in coordinates determined by operation sequence at particular

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32

Elanchezhian, C., B. Vijaya Ramnath, and Dr R. Kesavan. "Vendor Evaluation Using Multi Criteria Decision Making Technique." International Journal of Computer Applications 5, no. 9 (2010): 4–9. http://dx.doi.org/10.5120/943-1321.

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33

Dreimanis, Karlis, Zane Indzere, Dagnija Blumberga, and Vaida Sereviciene. "Multi-Criteria Evaluation of Efficiency in Fish Processing." Environmental and Climate Technologies 24, no. 2 (2020): 300–308. http://dx.doi.org/10.2478/rtuect-2020-0074.

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AbstractCarbon neutrality has become a goal of European Union countries as they held agreement on the European Green Deal; the goal needs to be achieved by 2050. To achieve this goal production industry plays major role as this sector produces considerable amount of greenhouse gas emissions. This paper analyses processes within fish processing industry as the consumption of fish products has increased; therefore, production rate in this area also has been growing. Even more, the consumption of fish products per capita is forecasted to keep increasing for at least the next further years as fish

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34

Bayrak, Osman Ünsal, and Halim Ferit Bayata. "Multi-criteria decision-based safety evaluation using microsimulation." Proceedings of the Institution of Civil Engineers - Transport 173, no. 5 (2020): 345–57. http://dx.doi.org/10.1680/jtran.18.00004.

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35

Alekseeva, Victoria. "Integral multi-criteria evaluation of construction sector competitiveness." Economic Annals-ХХI 157, no. 3-4(1) (2016): 109–11. http://dx.doi.org/10.21003/ea.v157-0034.

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36

Buyukozkan, Gulcin, Orhan Feyzioglu, and Gizem Cifci. "Fuzzy Multi-Criteria Evaluation of Knowledge Management Tools." International Journal of Computational Intelligence Systems 4, no. 2 (2011): 184. http://dx.doi.org/10.2991/ijcis.2011.4.2.7.

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37

Osei-Bryson, Kweku-Muata. "Evaluation of decision trees: a multi-criteria approach." Computers & Operations Research 31, no. 11 (2004): 1933–45. http://dx.doi.org/10.1016/s0305-0548(03)00156-4.

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38

Bartolini, F., and D. Viaggi. "Recent developments in multi-criteria evaluation of regulations." Quality Assurance and Safety of Crops & Foods 2, no. 4 (2010): 182–96. http://dx.doi.org/10.1111/j.1757-837x.2010.00076.x.

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39

Munda, Giuseppe. "Social multi-criteria evaluation for urban sustainability policies." Land Use Policy 23, no. 1 (2006): 86–94. http://dx.doi.org/10.1016/j.landusepol.2004.08.012.

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40

Andrianov, Andrey, Olga Andrianova, Alexandr Konobeev, Yury Korovin, and Ilya Kuptsov. "Multi-criteria comparative evaluation of spallation reaction models." EPJ Web of Conferences 146 (2017): 12007. http://dx.doi.org/10.1051/epjconf/201714612007.

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41

Büyüközkan, Gülçin, Orhan Feyzioglu, and Gizem Çifçi. "Fuzzy Multi-Criteria Evaluation of Knowledge Management Tools." International Journal of Computational Intelligence Systems 4, no. 2 (2011): 184–95. http://dx.doi.org/10.1080/18756891.2011.9727775.

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42

Dimitras, Augustinos I., Theodore Petropoulos, and Isabella Constantinidou. "Multi-criteria evaluation of loan applications in shipping." Journal of Multi-Criteria Decision Analysis 11, no. 4-5 (2002): 237–46. http://dx.doi.org/10.1002/mcda.332.

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43

CARVER, STEPHEN J. "Integrating multi-criteria evaluation with geographical information systems." International journal of geographical information systems 5, no. 3 (1991): 321–39. http://dx.doi.org/10.1080/02693799108927858.

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44

Permala, Antti, Ville Hinkka, Jenni Eckhardt, Jacques Leonardi, Karri Rantasila, and Markus Porthin. "Multi-criteria evaluation method for freight logistics innovations." IET Intelligent Transport Systems 9, no. 6 (2015): 662–69. http://dx.doi.org/10.1049/iet-its.2014.0187.

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45

Kasyanov, V. F., and R. V. Silin. "Method for multi-criteria evaluation of urban parks." IOP Conference Series: Materials Science and Engineering 687 (December 10, 2019): 055040. http://dx.doi.org/10.1088/1757-899x/687/5/055040.

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46

Kalinowski, K., D. Krenczyk, I. Paprocka, W. Kempa, and C. Grabowik. "Multi-criteria evaluation methods in the production scheduling." IOP Conference Series: Materials Science and Engineering 145 (August 2016): 022019. http://dx.doi.org/10.1088/1757-899x/145/2/022019.

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47

Kahraman, Cengiz, Sezi Çevik, Nüfer Yasin Ates, and Murat Gülbay. "Fuzzy multi-criteria evaluation of industrial robotic systems." Computers & Industrial Engineering 52, no. 4 (2007): 414–33. http://dx.doi.org/10.1016/j.cie.2007.01.005.

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48

Alanne, Kari, Ahti Salo, Arto Saari, and Stig-Inge Gustafsson. "Multi-criteria evaluation of residential energy supply systems." Energy and Buildings 39, no. 12 (2007): 1218–26. http://dx.doi.org/10.1016/j.enbuild.2007.01.009.

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49

Hoffman, James, Marc Schniederjans, and Stacy Sirmans. "A Multi-Criteria Model for Corporate Property Evaluation." Journal of Real Estate Research 5, no. 3 (1990): 285–300. http://dx.doi.org/10.1080/10835547.1990.12090629.

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50

Azadfallah, Mohammad, and Zeinab Farjood Chokami. "Multi-criteria supplier evaluation/ selection considering emotional factors." LBS Journal of Management & Research 18, no. 2 (2020): 106–16. http://dx.doi.org/10.5958/0974-1852.2020.00010.3.

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