Multicriteria decision makingmodel with z-numbers based on fucom and mabac model

被引：2
作者：
Božanic D. [1 ]
Tešic D. [1 ]
Milic A. [1 ]
机构：
[1] University of Defense in Belgrade, Military Academy, Belgrade
来源：
Decision Making: Applications in Management and Engineering | 2020年 / 3卷 / 02期
关键词：
Brigade command post; FUCOM; Fuzzy number; MABAC; Z-number;
D O I：
10.31181/dmame2003019d
中图分类号：
学科分类号：
摘要：
In the paper is presented a model for selecting a location for a brigade command post during combat operations. Considering that this is a very complex model, which can be approached from several aspects, this paper is limited only to the criteria related to the construction or arrangement of the command post, respectively, the engineering aspect. The selection process is conducted using hybrid FUCOM - Z-number - MABAC model. The FUCOM method is used to define the weight coefficients of criteria based on which the selection is made. The MABAC method, modified by applying Z-number, is used to rank alternatives. The end results indicate that the application of Z-number in decision making includes broader set of uncertainties than standard fuzzy numbers, which is very important for deciding in combat situations. © 2020 Regional Association for Security and crisis management. All rights reserved.
引用
收藏
页码：19 / 36
页数：17
相关论文
共 47 条
  • [1] Aboutorab H., Saberi M., Asadabadi M.R., Hussain O., Chang E., ZBWM: The Z-number extension of Best Worst Method and its application for supplier development, Expert Systems With Applications, 107, pp. 115-125, (2018)
  • [2] Azadeh A., Kokabi R., Z-number DEA: A new possibilistic DEA in the context of Z-numbers, Advanced Engineering Informatics, 30, pp. 604-617, (2016)
  • [3] Azadeh A., Saberi M., Pazhoheshfar P., Z-AHP: A Z-number Extension of Fuzzy Analytical Hierarchy Process, 7th IEEE International Conference on Digital Ecosystems and Technologies (DEST), pp. 141-147, (2013)
  • [4] Badi I., Abdulshahed A., Ranking the Libyan Airlines by using Full Consistency Method (FUCOM) and Analytical Hierarchy Process (AHP), Operational Research in Engineering Sciences: Theory and Applications, 2, 1, pp. 1-14, (2019)
  • [5] Bobar Z., Bozanic D., Djuric K.A., Pamucar D., Ranking and Assessment of the Efficieny of Social Media using the Fuzzy AHP-Z Number Model - Fuzzy MABAC, Acta Polytechnica Hungarika, 17, 3, pp. 43-70, (2020)
  • [6] Bozanic D., Kocic J., Tesic D., Selecting location for construction of single-span Bailey Bridge by applying fuzzy MABAC method, Procedings of The 2nd International Conference on Management, Engineering and Environment, pp. 407-416, (2018)
  • [7] Bozanic D., Pamucar D., Karovic S., Use of the fuzzy AHP - MABAC hybrid model in ranking potential locations for preparing laying-up positions, Military Technical Courier/Vojnotehnički glasnik, 64, pp. 705-729, (2016)
  • [8] Bozanic D., Pamucar D., Karovic S., Application the MABAC method in support of decision-making on the use of force in a defensive operation, Tehnika, 71, 1, pp. 129-137, (2016)
  • [9] Cao Q., Esangbedo M.O., Bai S., Esangbedo C.O., Grey SWARA-FUCOM Weighting Method for Contractor Selection MCDM Problem: A Case Study of Floating Solar Panel Energy System Installation, Energies, 12, (2019)
  • [10] Chatterjee P., Mondal S., Boral S., Banerjee A., Chakraborty S., Novel hybrid method for non-traditional machining process selection using factor relationship and Multi-Attributive Border Approximation Method, Facta Universitatis, Series: Mechanical Engineering, 15, 3, pp. 439-456, (2017)
12345