TY  - JOUR
T1  - Sustainable method for tender selection using linear Diophantine multi-fuzzy soft set
AU  - Jayakumar, Vimala
AU  - Kannan, Jeevitha
PY  - 2023
DA  - December
Y2  - 2023
DO  - 10.31801/cfsuasmas.1255830
JF  - Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics
JO  - Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat.
PB  - Ankara University
WT  - DergiPark
SN  - 1303-5991
SP  - 976
EP  - 991
VL  - 72
IS  - 4
LA  - en
AB  - Tender selection is a fundamental issue for the success of construction projects since it contributes to the overall outline’s performance. In reallife problems, the decision-makers cannot express certain crisp data, so there is uncertainty and vagueness in the values. In this paper, a sustainable technique is proposed to find desirable tenderers coherently and fairly under the needed circumstances. This paper presents three methods of an algorithmic approach to evaluate the tendering process and rank the tenderers. The attributes are expressed as Linear Diophantine Multi-Fuzzy Soft numbers (LDMFSN) since the existence of reference parameters makes the DM freely choose their grade values. Some of the rudimentary properties of LDMFSN are presented. An illustrative example is demonstrated to validate our proposed method. The uniqueness of the result in all three algorithms shows the effectiveness of our proposed approach.
KW  - Linear Diophantine fuzzy
KW  - tender selection
KW  - threshold fuzzy
KW  - comparision matrix
KW  - score value
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UR  - https://doi.org/10.31801/cfsuasmas.1255830
L1  - https://dergipark.org.tr/en/download/article-file/2972009
ER  -