Page 11 - POSTER FYP MAC-OGOS 2025

AN APPROACH TO DISTANCE MEASURE IN SINGLE-VALUED K242/11
K242/11

NEUTROSOPHIC SETS (SVNS) FOR SUPPLIER SELECTION PROBLEM

WAN NUR ADRIANA BINTI WAN AZELAND SHAH SUPERVISOR: MADAM FIRDAWATI BINTI MOHAMED
WAN NUR ADRIANA BINTI WAN AZELAND SHAH SUPERVISOR: MADAM FIRDAWATI BINTI MOHAMED

A B S T R A C T
ABSTRACT

One of the most significant strategies in getting a successful business is having a good supplier. However, it comes to a problem in choosing supplier when

there are uncertainty and doubt in making decision. The purpose of this study is to apply distance measure and measure its efficiencies in solving the

supplier selection problem. Therefore, this study provides a methodology in choosing the best supplier based on distance measure method under Single-

Valued Neutrosophic Set (SVNS) which are Hamming distance measure, normalized Hamming distance measure, extended Hausdorff distance and with

the addition of similarity measure. A framework of three phases is develop including formulating the distance measure, applying to the problem and

finally the discussion and a ranking process through comparison. As the result, a lower value of distance is better and a higher value is better for similarity

measure. The proposed method offers a simple and easy use decision-making tool under uncertain conditions in supplier selection.

P R O B L E M S T A T E M E N T (a) To formulate the O B J E C T I V E c) To compare and
OBJECTIVE
PROBLEM STATEMENT
A good supplier selection is extremely important, especially for those in properties of Hamming (b) To apply Hamming discuss the result

the business field where wide competitiveness and determined to distance measure, distance measure, obtained from applying

choose best supplier for their requirements. To address this challenges, normalized Hamming normalized Hamming distance measures to

there is a need to do comparing and ranking process of supplier so that distance measure and distance measure and supplier selection

the manufacturers can determine the best supplier. Therefore, three extended Hausdorff extended Hausdorff problem

distance measures, which are Hamming distance measure, normalized distance. distance to supplier

Hamming distance measure and extended Hausdorff distance have selection problem.

been considered. All of these methods are very helpful in solving the

METHODOLOGY & MPLEMENTATION
ambiguous and uncertain decision-making problem. Therefore, this M E T H O D O L O G Y & M P L E M E N T A T I O N

study aims to apply distance measures SVNS to supplier selection

problem by simply looking at their performance across multiple criteria

including cost, delivery, flexibility, quality, service and innovation

performance. By providing this study, the results will shown the best

supplier chosen for future and improve to the higher level

Properties of Distance Measure

i) Hamming Distance Measure

ii) Normalized Hamming Distance Measure

iii) Extended Hausdorff Distance

-The discussion, comparison and ranking

of average value for each alternatives will

be discussed.

Similarity Measure for dH -Distance measure prefer the lower value

& similarity measure prefer a higher value

as the best alternative.

RESULT & DISCUSSION
I
S
C
&

D
I
O
N
U
S
S
S
U
R
E
L

T
D I S T A N C E M E A S U R E
DISTANCE MEASURE

S I M I L A R I T Y M E A S U R E
SIMILARITY MEASURE

RECOMMENDATION
C O N C L U S I O N R E C O M M E N D A T I O N
CONCLUSION

The formulating Alternative 4 was By comparing the

of distance the best supplier average value that

measures is a chosen for all had been chosen,
the normalized
success since the distance measure Hamming distance

proof is formulas and the measure was the

completely least supplier goes best

shown. to Alternative 2