TOPSISTechnique for Order Preference by Similarity to Ideal Solution
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46] applied the concept of TOPSIS on multiple objective decision making (MODM) problems.
This paper proposes Multi-Attribute Intuitionistic Fuzzy Group Decision Method (MAIFGDM) which uses TOPSIS for the selecting the suitable candidate network from available heterogeneous wireless networks.
The TOPSIS orders the scheme according to the "positive ideal solution" and the "negative ideal solution".
The advantage of TOPSIS is its logicality, rationality and computational simplicity (Jiang et al.
The same for [alpha]-D MCDM: firstly, it is just used to calculate the weight of criteria, that will be used later by TOPSIS to rank preferences, and, secondly, the [alpha]-D MCDM is extended to a complete method, in order to rank the preferences.
Fuzzy TOPSIS has been selected as decision techniques for BIM software selection.
To model the problems more realistically, the diffusion of fuzzy sets into TOPSIS has been developed and applied recently.
The method of TOPSIS is based on choosing a variant which is closest to the one which has been chosen before and also the farthest from the base variant.
Key words: multi-criteria decision making, AS, RS selection, fuzzy TOPSIS
Usual crisp TOPSIS as presented by Hwang and Yoon in 1981 (Hwang and Yoon 1981) or fuzzy TOPSIS has been widely applied in construction management, as well as some other MCDM methods like SAW (Simple Additive Weighting), COPRAS (Complex Proportional Assesment), ELECTRE (Elimination Et Choix Traduisant la Realite) for ranking of construction- technological alternatives (Zavadskas 1986), selection of resource-saving decisions (Zavadskas 1987), accepting other technological or facility management decisions (Fiedler et al.
The overall flow chart on the application of TOPSIS method in the thermoset matrix materials selection is shown in Figure 1.