Financing selection method in discipline evaluation using a weighted induced model

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dc.contributor.author Chen, Yufen
dc.contributor.author Jin, Huanhuan
dc.contributor.author Chen, Chao
dc.contributor.author Zhang, Chonghui
dc.contributor.other Ekonomická fakulta cs
dc.date.accessioned 2019-06-15T15:50:58Z
dc.date.available 2019-06-15T15:50:58Z
dc.identifier.issn 1212-3609
dc.identifier.uri https://dspace.tul.cz/handle/15240/152594
dc.description.abstract The selection of a suitable financing alternative involves multifarious attributes that should be assessed to provide a basis foundation for decision-making. As an effective generation of intuitionistic fuzzy set and linguistic term, the intuitionistic linguistic set (ILS) has greater power for processing uncertain information during decision-making process. Keep this feature in mind, the main purpose of this paper is to investigate a weighted induced aggregation approach for decision-making problem concerning financing selection with complex uncertainty in term of intuitionistic linguistic (IL) information. For this, a new intuitionistic linguistic aggregation operator based on the weighted induced approach, namely the IL weighted induced ordered average-weighted averaging (ILWIOWAWA) operator, is proposed to integrate intuitionistic linguistic information. The special advantage of this operator is that it can integrate the subjective information with the particular attitudinal characters in form of order-induced variables in the same expression during information fusion. Moreover, it is able to deal with uncertain information represented by intuitionistic linguistic set very effectively. Some of its properties and particular cases are mathematically explored. We have proved that it has the properties of monotonicity, boundedness, idempotency, nonnegativity and reflexivity. A further extension of the proposed operator is also represented in term of quasi-arithmetic means, then we get the quasi-arithmetic ILWIOWAWA (QILWIOWAWA) operator, which encompasses a very broad class of IL aggregation operators. In addition, based on the developed operator, a procedure for multiple attribute group decision-making (MAGDM) problems has been discussed. Finally, a numerical application related to the discipline evaluation in university is used to show the validity and practicability of the proposed method. en
dc.format text
dc.language.iso en
dc.publisher Technická Univerzita v Liberci cs
dc.publisher Technical university of Liberec, Czech Republic en
dc.relation.ispartof Ekonomie a Management cs
dc.relation.ispartof Economics and Management en
dc.relation.isbasedon Aggarwal, M. (2015). A new family of induced OWA operators. International Journal of Intelligent Systems, 30(2), 170-205. https://dx.doi.org/10.1002/int.21693.
dc.relation.isbasedon Atanassov, K. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20(1), 87-96. https://dx.doi.org/10.1016/S0165-0114(86)80034-3.
dc.relation.isbasedon Frank, A. G., Souza, D. V. S., Ribeiro, J. L. D., & Echeveste, M. E. (2013). A framework for decision-making in investment alternatives selection. International Journal of Production Research, 51(19), 5866-5883. https://dx.doi.org/10.1080/00207543.2013.802393.
dc.relation.isbasedon Herrera, F., & Herrera-Viedma, E. (2000). Linguistic decision analysis: steps for solving decision problems under linguistic information. Fuzzy Sets and Systems, 115(1), 67-82. https://dx.doi.org/10.1016/s0165-0114(99)00024-x.
dc.relation.isbasedon Liu, J., Wu, X. B., Zeng, S. Z., & Pan, T. L. (2017). Intuitionistic linguistic multiple attribute decision-making with induced aggregation operator and its application to low carbon supplier selection. International Journal of Environmental Research and Public Health, 14(12), 1451. https://dx.doi.org/10.3390/ijerph14121451.
dc.relation.isbasedon Liu, P. (2013). Some generalized dependent aggregation operators with intuitionistic linguistic numbers and their application to group decision making. Journal of Computer and System Sciences, 79(1), 131-143. https://dx.doi.org/10.1016/j.jcss.2012.07.001.
dc.relation.isbasedon Mehdi, K. G., Maghsoud, A., Edmundas, K. Z., & Jurgita, A. (2017). Supplier evaluation and selection in fuzzy environments: a review of MADM approaches. Economic Research-Ekonomska Istraživanja, 30(1), 1073-1118. https://dx.doi.org/10.1080/1331677X.2017.1314828.
dc.relation.isbasedon Merigó, J. M. (2011). A unified model between the weighted average and the induced OWA operator. Expert Systems with Applications, 38(9), 11560-11572. https://dx.doi.org/10.1016/j.eswa.2011.03.034.
dc.relation.isbasedon Merigó, J. M., & Gil-Lafuente, A. M. (2013). Induced 2-tuple linguistic generalized aggregation operators and their application in decision-making. Information Sciences, 236, 1-16. https://dx.doi.org/10.1016/j.ins.2013.02.039.
dc.relation.isbasedon Rostamzadeh, R., Esmaeili, A., Nia, A. S., Saparauskas, J., & Ghorabaee, M. K. (2017). A Fuzzy Aras Method for Supply Chain Management Performance Measurement in SMEs under Uncertainty. Transformations in Business & Economics, 16(2A), 319-348.
dc.relation.isbasedon Su, W. H., Li, W., Zeng, S. Z., & Zhang, C. H. (2014). Atanassov’s intuitionistic linguistic ordered weighted averaging distance operator and its application to decision making. Journal of Intelligent & Fuzzy Systems, 26(3), 1491-1502. https://dx.doi.org/10.3233/IFS-130833.
dc.relation.isbasedon Wang, J. Q., & Li, H. B. (2010). Multi-criteria decision-making method based on aggregation operators for intuitionistic linguistic fuzzy numbers. Control and Decision, 25(10), 1571-1574. https://dx.doi.org/10.3724/SP.J.1087.2010.02828.
dc.relation.isbasedon Xu, Z. S. (2005). Deviation measures of linguistic preference relations in group decision making. Omega, 33(3), 249-254. https://dx.doi.org/10.1016/j.omega.2004.04.008.
dc.relation.isbasedon Yager, R. R., & Filev, D. P. (1999). Induced ordered weighted averaging operators. IEEE Transactions on Systems Man & Cybernetics Part B, 29(2), 141-150. https://dx.doi.org/10.1109/3477.752789.
dc.relation.isbasedon Yan, Q., Yin, J., Baležentis, T., Makutėnienė, D., & Štreimikienė, D. (2017). Energy-related GHG emission in agriculture of the European countries: An application of the Generalized Divisia Index. Journal of Cleaner Production, 164, 686-694. https://dx.doi.org/10.1016/j.jclepro.2017.07.010.
dc.relation.isbasedon Yu, D. J., & Li, D. F. (2014). Dual hesitant fuzzy multi-criteria decision making and its application to teaching quality assessment. Journal of Intelligent & Fuzzy Systems, 27(4), 1679-1688. https://dx.doi.org/10.3233/IFS-141134.
dc.relation.isbasedon Yu, D. J., & Liao, H. C. (2016). Visualization and quantitative research on intuitionistic fuzzy studies. Journal of Intelligent & Fuzzy Systems, 30(6), 3653-3663. https://dx.doi.org/10.3233/IFS-162111.
dc.relation.isbasedon Zadeh, L. A. (1965). Fuzzy sets. Information Control, 8(3), 338-353. https://dx.doi.org/10.1016/S0019-9958(65)90241-X.
dc.relation.isbasedon Zeng, S. Z. (2016). An extension of OWA operator and its application to uncertain multiple-attribute group decision-making. Cybernetics and Systems, 47(5), 363-375. https://dx.doi.org/10.1080/01969722.2016.1182362.
dc.relation.isbasedon Zeng, S. Z. (2017). Pythagorean fuzzy multiattribute group decision making with probabilistic information and OWA approach. International Journal of Intelligent Systems, 32(11), 1136-1150. https://dx.doi.org/10.1002/int.21886.
dc.relation.isbasedon Zeng, S. Z., Su, W. H., & Zhang, C. H. (2016). Intuitionistic fuzzy generalized probabilistic ordered weighted averaging operator and its application to group decision making. Technological and Economic Development of Economy, 22(2), 177-193. https://dx.doi.org/10.3846/20294913.2014.984253.
dc.relation.isbasedon Zeng, S. Z., & Xiao, Y. (2016). TOPSIS method for intuitionistic fuzzy multiple-criteria decision making and its application to investment selection. Kybernetes, 45(2), 282-296. https://dx.doi.org/10.1108/K-04-2015-0093.
dc.relation.isbasedon Zhang, C. H., Su, W. H., & Zeng, S. Z. (2017). Intuitionistic Linguistic Multiple Attribute Decision-making Based on Heronian Mean Method and Its Application to Evaluation of Scientific Research Capacity. EURASIA Journal of Mathematics Science and Technology Education, 13(12), 8017-8025. https://dx.doi.org/10.12973/ejmste/77933.
dc.relation.isbasedon Zhou, J., Baležentis, T., & Streimikiene, D. (2019). Normalized Weighted Bonferroni Harmonic Mean-Based Intuitionistic Fuzzy Operators and Their Application to the Sustainable Selection of Search and Rescue Robots. Symmetry, 11, 218. https://dx.doi.org/10.3390/sym11020218
dc.rights CC BY-NC
dc.subject intuitionistic linguistic set en
dc.subject multiple attribute decision-making en
dc.subject induced aggregation operator en
dc.subject financing selection en
dc.subject.classification C52
dc.subject.classification D92
dc.subject.classification N01
dc.title Financing selection method in discipline evaluation using a weighted induced model en
dc.type Article en
dc.publisher.abbreviation TUL
dc.relation.isrefereed true
dc.identifier.doi 10.15240/tul/001/2019-2-003
dc.identifier.eissn 2336-5604
local.relation.volume 22
local.relation.issue 2
local.relation.abbreviation E+M cs
local.relation.abbreviation E&M en
local.faculty Faculty of Economics
local.citation.spage 40
local.citation.epage 50
local.access open
local.fulltext yes
local.filename EM_2_2019_03


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