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ELECTRE

The ELECTRE (Elimination Et Choix Traduisant He realite) is based on the concept of ranking

by paired comparisons between alternaties on the appropriate criteria! "n alternatie is said to

dominate the other alternaties if one or more criteria are met (compared with the criterion of

other alternaties) and it is e#ual to the remaining criteria! Ranking relations are between two

alternaties "k from the "$ (Roy% $&') in *+!

The researches on the ELECTRE method has been widely applied% for example,

&+ conducted a study, The ELECTRE method based on interal numbers and its application to

the selection of leather manufacture alternaties! -n this study% it is studied how to make use of

traditional methods for certain circumstances to sole the ."/. with interal numbers! The

paper proposes an enhanced ELECTRE method based on the number of interals! This is

performed by considering the specificity of interal numbers% using the possibility degree for

ranking alternaties% founded the discordance dominance matrix and aggregate dominance

matrix% then eliminating inferior alternaties! This method can be used to ."/.% where the

alues of attributes in the form of interal numbers% and sole the difficulties in ranking a

number of interals in the traditional method! The selection of leather0making problem soling

with this method% and illustrated its application in real life!

&+ -n this study% using the possibility degree of interal to propose an alternatie ranking and

the ELECTRE method based on interal numbers% and it gies step to perform using this

method! This method can be used to sole the problem of multiple solutions attribute decision

in which the attribute alues are numbers interals! &+

1+ in his research on ."/. methods associated with the decision maker2s point of iew about

the -mportance degree of responses! The results gien is assumed that the response0means

clustering is more important than the standard deiation! "nother adantage of this method is it

considers the standard deiations that contribute to the strength of experimental design% because

it only uses one appropriate response regression function% so that this method reduces the

statistical error! 3ecause this method attempts to obtain a alue of seeral responses% then it can

be grouped in the desirability function approach!

4+ in his research deelop methods that 5-67R compared with ELECTRE -- method in the

method of ranking! 7pricoic get the result that the similarity of ELECTRE and 5-67R

deelopment based on the e#uality principle as,

(") Consider the global certainty measure (concordance and group utility)!

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(3) opsisi of other criteria0the0minority2222is not strong (nondiscordance)!

"nalysis and ELECTRE 5-67R comparison shows that with the assumptions% conditions and

decisions by R822discordance22in 5-67R hae in common with the basic .C/. (minimum

indiidual regret)!

'+ in his research deelop new ELECTRE .ethod with -nteral /ata in .ultiple "ttribute

/ecision .aking 9roblem This study aim is to proide new and uni#ue method for ranking

alternaties with interal data in multi0attribute decision making! The use of interal data is

considered better than to use the interal data for the deterministic problem and the exact data

(eg% time% distance% temperature) or they cannot easily be expressed as deterministic and

specific numbers! in this study% they deeloped a method for decision making solution of

problems (especially% when it is not possible to present the data so that the use of fu::y fu::y

decision making! $+

'+ conducted an applied research "nalysis by an outranking multi0attribute decision0making

techni#ue% called Elimination et choix traduisant He realite method! This approach is applied to

an illustratie example where "nalytical hierarchy process method applied to calculate the

global weights of the attributes of the couple through the comparison matrix! This study shows

the proposed "H90ELECTRE algorithm; outranking relations between the alternaties and in

this way% non0dominated sets of land0use alternaties other alternaties can be identified! -n this

approach% the worst alternatie for the examples gien can be recogni:ed as well! Results

obtained by ELECTRE outranking is better than the T79