Multi-criteria analysis with partial information about the weighting coefficients
Abstract
In this paper we address the problem of ranking a set of alternatives with partial information about the weighting coefficients. We introduce a family of quasiorders that are easily interpretable and manageable, which includes among others, the natural quasiorder in and other well known preference structures in the literature. The enrichment of the preference structure with respect to the natural quasiorder is measured by means of an absolute measure we introduce.
Full text
ELSEVIER Eu opean Jou nal o Ope a ional Resea ch 81 (1995) 291-301
EUROPEAN
JOURNAL
OF OPERATIONAL
RESEARCH
Theo y and Me hodology
Mul i-c i e ia analysis wi h pa ial in o ma ion abou
he weigh ing coe icien s
E. Ca izosa, E. Conde, F.R. Fe nandez, J. Pue o *
Depa amen o de Es ad s ica e In es igaci&n Ope a i a, Uni e sidad de Se illa, 41012 Se illa, Spain
Recei ed Oc obe 1992; e ised Ap il 1993
Abs ac
In his pape we add ess he p oblem o anking a se o al e na i es wi h pa ial in o ma ion abou he weigh ing
coe icien s. We in oduce a amily o quasio de s ha a e easily in e p e able and manageable, which includes
among o he s, he na u al quasio de in R n and o he well known p e e ence s uc u es in he li e a u e. The
en ichmen o he p e e ence s uc u e wi h espec o he na u al quasio de is measu ed by means o an absolu e
measu e we in oduce.
Keywo ds:
Mul iple c i e ia decision making; Pa ial in o ma ion; Weigh s
1. In oduc ion
Nea ly all he eal wo ld decision p oblems
in ol e mo e han one objec i e and can be o -
mula ed in a na u al way using he mul i-c i e ia
app oach:
'Max'
(x) - ( ,(x),..., n(X)) (1)
whe e
i:X--* ~
is he e alua ion o he i- h
objec i e (i = 1 .... , n) and X is he se o al e -
na i es o be anked.
In his o mula ion, and wi hou addi ional in-
o ma ion abou he objec i es, one can ob ain a
pa ial o de R I in X: Gi en wo al e na i es x,
y ~ X, we say ha x is as p e e ed as y ollow-
ing
R, (xRzy)
i
* Co esponding au ho .
i(x)> i(y) Vi=l,...,n,
o equi alen ly,
xRiy
i
~_, Will(X)> ~_, wi i(y )
l <i <_n l <_i <_n
Vw>O, w~ ~.
AS he pa ial o de Rz is ypically oo ague
(and he se o nondomina ed al e na i es is oo
la ge) a numbe o p ocedu es has been p oposed
in o de o en ich he p e e ence s uc u e abo e
(P ome hee [5], Elec e [19], in e ac i e me hods
[11], he u ili y app oach [9], e c.). The in e es ed
eade is e e ed o he seminal pape o Roy
[20] o a syn hesis o he main app oaches o his
p oblem which ha e been s udied.
In he u ili y app oach, one assumes he exis-
ence o a unc ion U: ~ ~ R, in such a way ha
an al e na i e x is conside ed as p e e ed o y i
U( i(x) ..... n(X)) >-- U( l(Y) ..... n(Y))"
0377-2217/95/$09.50 © 1995 Else ie Science B.V. All igh s ese ed
SSDI
0377-2217(93)E0270-8
292
E. Ca izosa e al. ~Eu opean Jou nal o Ope a ional Resea ch 81 (1995) 291-301
Fu he mo e, unde mild egula i y condi ions
[12], U is a linea unc ion, i.e.: one assumes he
exis ence o a ec o w* = (w*,...,w*)_> 0 such
ha he Decision Make (D-M) p e e ences a e
gi en by he o de R:
xRy
i
~,, wTk(x ) ~ ~_, w~k(y ).
l~i~n l~i~n
Howe e , one o he main d awbacks o his
app oach is ha he D-M would ha e o es ima e
nume ically he weigh ( he ec o w*) ha each
c i e ion b ings o he inal sco e o an al e na i e
and he is no always willing o do so [6]. This
choice is a c i ical s ep, and, al hough some
me hodologies ha e been de eloped o a ain his
goal, such as he En opy me hod [11], he Saa y
me hod [21], he Solymosi and Dombi echnique
[23,15], e c., hey equi e, in ou opinion, oo
much specialized in o ma ion om he D-M.
Ins ead o p o iding he exac w*, he D-M
migh ha e some knowledge abou w* and his
in o ma ion can be used o ob ain a (pa ial)
anking in X which en iches he o iginal p e e -
ence s uc u e R I.
In his pape we show ha exac nume ical
weigh s a e no always necessa y. Ins ead o his
exac es ima ion, he D-M gi es only ce ain lin-
ea ela ions which exp ess pa ial in o ma ion
abou he ma ginal subs i u ion a es be ween he
c i e ia. This app oach is no new and some wo k
in his ield can be ound in he li e a u e; Ki -
wood and Sa in [13], Hazen [10], o Eisel and
Lapo e [8], de i e condi ions o de e mine o di-
nal ankings be ween al e na i es using pa ial
in o ma ion abou weigh ing cons an s.
Fo ins ance, in he quali a i e app oach [17]
he D-M is eques ed o es ima e only he ank
o de o he c i e ia. I he c i e ia a e a anged
in dec easing o de o p e e ence, wi h w 1 > • • •
> wn, hen
xny
i
w( (x)- (y))>O
Vw>_O,
WI~_ ... ~_Wn
o , equi alen ly (see
[17])
xRy
i g j(x)> ~] j(y) Vi=l,...,n.
j<_i j<i
In a mo e gene al se ing, he D-M is e-
ques ed o es ima e a linea ope a o which mixes
he weigh s, i.e. he D-M asse s ha he ec o
w* belongs o a ce ain polyhed on. Thus, gi en a
linea ope a o A, we de ine he p e e ence be-
ween he al e na i es by means o he bina y
ela ion
R A
as
xRay
i
w( (x)- (y))>_O
Vw>O,
Aw > O. (2)
All hese bina y ela ions a e quasi-o de s (i.e.
e lexi e and ansi i e) [26] and can be used o
pa ially ank he al e na i es, al hough hei use
equi es he solu ion o a linea p oblem o com-
pa e e e y pai o al e na i es.
Howe e , i he ex eme poin s
wl,...,w m
o
n
he poly ype {w :
Aw > O, w > O, F~i= lwi -
1} a e
known, he ela ion
R a
is
xRAy
i
wk( (x)-- (y)) >O
Vk = 1,...,m, (3)
which simpli ies i s use.
The ollowing example iUus a es he com-
men s.
Example 1.1. The s a manage o a consul ing
i m mus ank ou di e en execu i es o a bank
acco ding o he budge hey es ima e o nex
yea based on h ee inancial c i e ia. These c i-
e ia a e: loans gi en o clien s (C1), clien s' sa -
ings deposi s (C 2) and edemp ions achie ed (C3).
Each manage 's budge mus adhe e o he
inancial policy o he bank. This policy is gi en in
o m o h ee cons ain s:
1. The bank wishes ha he c edi s a e g ea e
han he sum o he edemp ions plus 1.5 imes
he sa ings.
2. The edemp ions mus be less han 0.1 imes
he sa ings deposi s.
3. The edemp ions mus be non-nega i e.
Conside he ollowing ma ix whe e he ow i
ep esen s he ac ion p oposed by he manage
i,
i= 1,...,4:
C1 C2 C3
a 1
11 12.2 0
a 2 5 4 5
a3 11 11 13
a 4
11 12 2.3
E. Ca izosa e al. / Eu opean Jou nal o Ope a ional Resea ch 81 (1995) 291-301
293
Le F deno e he abo e ma ix. The con-
s ain s imposed by he bank can be w i en as
Wl>I.5w2+w 3,
W2>10W 3, W3>__0.
Thus, he linea ope a o A and he ex eme
poin s ma ix
E,
o he poly ope {w :
Aw > O, w >
0, Ei~__ lW~ = 1} a e espec i ely
(1.-1.5-1) 1527
A= 0 1 -10 and E= 2 10
5 27
1
0 0 1 0
and he qnasio de gi en by he abo e cons ain s
in he ac ion's se is ob ained om he ma ix
F × E b means o he na u al quasio de . Hence,
-11
287 298 ]
25 27
5 2...~3 125
5 27
F×E=
11 11 22- ~
11 zs~ 298.3.
25 27
gene a es a ela ion which can be ep esen ed by
he g aph o Fig. 1.
Howe e , wi h a di e en se o cons ain s
imposed by he bank gi en by he ope a o A ,
and whose ma ix ep esen a ion and ex emes
a e
1 -2.5 -2.5)
A1 = 0 1 -13 ,
0 0 1
1 5 35
7 49
E 1 0 2 13
7 49 ,
0 0
+9
i is easy o see ha he quasio de gene a ed is
ac ually an o de whose g aph is gi en in Fig. 2.
Thus, i is possible in many cases o iden i y he
Fig. 1. The g aph o
R A.
[K]-- [?N-- []
Fig. 2. The g aph o
RA
p e e ed al e na i es wi hou knowing he nu-
me ical es ima es o he c i e ion weigh s.
Howe e , he p e e ence s uc u e de e mina-
ion in i s gene al o mula ion ( he de e mina ion
o he se o non-domina ed al e na i es) is equi -
alen o he e ex polyhed on enume a ion,
which is no a polynomially sol able p oblem in
he size o he inequali y sys em de ining he
polyhed on [7,22].
The pape is s uc u ed as ollows: In Sec ion
2, we in oduce a class o ma ices
(Q-ope a o s)
and s udy some p ope ies o he quasio de s
hey induce. In Sec ion 3, we cha ac e ize some
Q-ope a o s ha a e easily unde s andable and
manageable. In Sec ion 4, we ex end he esul s
ob ained in p e ious sec ions o a b oade class.
The pape inishes wi h some conclusions and
possible ex ensions.
2. The class o Q-ope a o s
E e y linea ope a o A belonging o he se o
eal ma ices o dimension
k×n,
de ines a
quasi-o de
R n
on he se X o al e na i es:
Gi en a ma ix A ~ R kxn we de ine he poly-
opes C~ and CA:
C~=(w:Aw>O,w>O,
i=l~Wi=l} (4)
and
CA = w:Aw>_O,
wi=l , (5)
i=
and he quasio de
R a
on X:
xRaY
i
~wi i(x)>__ ~wi i(y )
i=1 i=1
Vw ~ C + . (6)
In his sec ion we in oduce a class o qua-
294 E. Ca izosa e aL / Eu opean Jou nal o Ope a ional Resea ch 81 (1995) 291-301
sio de s induced by linea ope a o s
(Q-ope -
a o s)
ha ha e e y in e es ing p ope ies: he
ex eme poin s o he co esponding C~ can be
e y easily ob ained.
De ini ion
2.1. A linea ope a o A
~R.x.
is
said o be a
Q-ope a o
i de (A) ~ 0 and A -1 _> 0
(componen wise).
Fo a Q-ope a o A, he in e se ope a o A-1
exis s; we deno e i s elemen s by
aii,
and by /x
he ec o o sums o he columns o A-1:
The ma ix abo e is easily shown o be a Q-ope -
a o , hus Paelinck's heo em appea s as a di ec
consequence o ou Theo em 2.1. Indeed, A -a
can be eadily ob ained, and he ex eme poin s
o C~ a e he columns o he ollowing ma ix:
1
1/n
1 ~
...
1 1/n
0 -~ ...
0 0 ... 1/n
1/n
0 0 ... 1/n
A -l=
(aij)
and /xj= E
aij"
(7)
l <_i <_n
Theo em
2.1.
I A E ~Xn is a Q-ope a o , hen
C] is he con ex hull o he columns o A- 1, each
one no malized in o de o add 1.
P oo . As A-l>-0, i ollows ha /~i > 0, Vj =
1,...,n.
Le D be he diagonal ma ix such ha
dii =
1/Izi, Vi,
and le e e R ~ deno e he ec o o
ones. Gi en w e E', one has
w~C~ i 3z such ha
w=A-aDz, Dz>_O,
A-aDz >_ O, eA-1Dz = 1
i.e. ( ecall ha D >_ 0, A -1 _> 0, eA-1D = e)"
weC~ i 3z such ha
w=A-1Dz, z>O,
ez=l.
In o he wo ds, w ~ C~ i w can be ep esen ed
as a con ex combina ion o he columns o A-aD,
as asse ed. []
Rema k
2.1. The well-known Paelinck heo em
[17] p o en, among o he s, in [17,2,6,13], educes
o he calculus o he ex eme poin s o he poly-
hed on
{w e R ~ : w a > w 2 > • • • >_ w~ >_ O, ~i= aWi
= 1}, which is o he o m C~ o he ollowing
ma ix A:
(010 0
1 ~1 ... 0
0 0 ... 1
Rema k 2.2. In he
cen oid me hod
o Solymosi
and Dombi [23,15], gi en he polyhed on C~, one
p oposes as w* he a e age ec o o he ex eme
poin s o C]. By he heo em abo e, his w* is
easy o ob ain when A is a Q-ope a o : w*=
(1/n)A-ae.
Rema k 2.3. I should be no ed ha hese kinds
o quasi-o de s do no necessa ily need n linea
ela ions. I he D-M is only able o supply k < n,
hese ope a o s can be ans o med wi hou in-
co po a ing any addi ional in o ma ion. This is
possible by adding he na u al ela ions w i > 0
and emo ing he edundan ones. As an illus a-
ion, conside a p oblem wi h h ee objec i es,
whe e he D-M s a es ha w a > w 2 bu is unable
o p o ide mo e in o ma ion abou he weigh s.
Then he will ha e he ollowing ope a o A and
i s in e se
A-a:
A= 1 , A -1= 1 0 ,
0 0 1
and he quasi-o de would be
( a(x)
> l(Y),
XRAY
i
~ a(x)
+ 2(x) > x(Y) + 2(Y),
I 3(x) > 3(Y)"
Rema k 2.4. Ano he impo an p ope y o Q-
ope a o s is he ac ha hey induce in e al
weigh s, which a e easy o ob ain, allowing a
ce ain deg ee o sensi i i y analysis in he nu-
E. Ca izosa e al. / Eu opean Jou nal o Ope a ional Resea ch 81 (1995) 291-301
295
me ical es ima ion o weigh s. The exac in e al
o
w i ~ C~, Vi = 1 ..... n,
is gi en by
WiG [Inj!n(olij//~j),
max(o ij/IXj)l, i=
1,...,n,
whe e
aij
and /xy we e de ined in (7).
Indeed, o i = 1,...,n, le
z i
be he op imal
alue o he linea p og am
max{w i : w ~ C~ }.
This
z~ is a ained a an ex eme poin o C~ and,
hus, by Theo em 2.1, z~ =
maxj(aiJixj).
Simi-
la ly, one concludes wi h he minimum.
Fo ins ance, o he quasio de
R A
desc ibed
in Rema k 2.1, i is easily seen ha
wl~[1/n, 11,
w2~[0,½1,...,
w,~[O, 1/n].
As a inal consequence, obse e ha one can
also ob ain he maximum and minimum alue
associa ed wi h each al e na i e x E X when he
weigh w a ies in C~, which is he basis o some
decision-making me hods (see, e.g. [3]). Indeed,
as inding he maximum ( espec . he minimum)
alue o
w (x)
when w a ies in C~ educes o
sol ing he linea p og am
max{w (x):w ~ C~}
( espec i ely
min{w (x) : w ~
C~}), Theo em 2.1
implies ha
min
~
ai---k i(x) <_w (x) < max ~ ° ik i(x )
k i=1 Zk k
i=1 ~k
Vw~C~, x~X.
The amily o ope a o s p oposed in he p e i-
ous heo em is maximal in he sense ha he
unique se o weigh s in ~n wi h n ex eme poin s
whe eby all he weigh s gene a ed a e non-nega-
i e a e hose wi h A- ~ _> 0. This is s a ed in he
ollowing heo em:
Fi s , we show ha D A = D~. Indeed, i is
e iden ha D~ c D A. Now, le
w ~ D A,
and we
will show ha w ~ D~. Ob iously, i w = 0, hen
w ~ D~, so we can assume ha w ~ 0; in o he
wo ds, we only ha e o conside he cases
(ew ~ O)
and
(ew < O, w 4= 0).
Case 1. ew>O.
Le w l=(1/(ew))w~C
A=
C~. Hence, w 1 > 0, hus w >_ 0, which ( ecall ha
w E D A)
implies ha w ~ D~.
Case 2. ew < O, w 4= O.
As by assump ion C A ~
¢, he e exis s
w°~ C A = CJ.
De ine w 1 as ol-
lows:
1 -- ew
w 1 -- --w d- w °.
1 - ew 1 - ew
Such w 1 e i ies ha w 1 ~ D A and
ew I
= 0. Fu -
he mo e, a leas one componen o w 1 is nega-
i e. Indeed, i w 1 > 0, hen, as
ew 1 = O,
i would
ollow ha w I = 0, hus
(ew)w °
= w; as w 4= 0,
ew < O,
one would ob ain
ew
< 0, hus 0
<Aw =
(ew)Aw°;
as 0<Aw
°
and
ew
<0, his would
imply ha
Aw °= O,
i.e.: ( ecall ha A -x exis s)
w ° = 0, which is a con adic ion.
Hence, w a has a leas a nega i e componen ,
hus he e exis s some A, 0 < h < 1 such ha he
ec o w 2 = hw* + (1 - h)w ° e i ies ha
Aw 2 >
O, ew 2
> 0, w 2 has a leas a nega i e componen .
By case
1, w e ~D~,
which is a con adic ion.
Hence,
D A = D~,
as we claimed.
Wi h his, we a e in posi ion o show ha
A-l> 0. Indeed, le be a column o A-l; as
AA -1 gi es he iden i y ma ix, i ollows ha
A >_ O,
i.e.,
~ D A,
hus > 0. Then, we ha e
shown ha all he columns o A-1 e i y ha
>_ 0, hus A-1 >_ 0, as asse ed. []
Theo em 2.2.
Le A
~ ~n×n
be a linea ope a o
such ha
de (A) ~ 0
and C A -4= ~J. Then C + = C A
i A-l >O.
P oo . I is e iden ha , i A-l> 0 hen C~ =
C A. We now show he con e se. Le A be an
n × n ma ix wi h de (A) ~ 0 such ha C~ =
C A.
De ine he se s D n and D~:
D4={wE~n:Aw >>. O},
D~={w~n:Aw >O, w>O}.
The p ocess o supplying in o ma ion o he
ini ial mul i-c i e ia p oblem ans o ms he p e -
e ence scheme. Thus in he beginning, i.e. when
no in o ma ion is a ailable, one al e na i e x ~ X
is p e e ed o ano he
y~X
i
(x)>_ (y)
(componen -wise), Tha is, wi h no in o ma ion,
he p e e ence scheme coincides wi h he Pa e o
quasi-o de . So, i seems na u al ha in he p o-
cess o supplying in o ma ion, he mo e p ecise
in o ma ion he D-M gi es, he mo e accu a e
quasi-o de will be gene a ed. I is e iden ha
296
E. Ca izosa e al. / Eu opean Jou nal o Ope a ional Resea ch 81 (1995) 291-301
e e y quasi-o de
R A
wi h A- 1 >_ 0, imp o es he
no-in o ma ion- ela ion because i educes he
se o weigh s. Bu gi en wo ela ions
R A
and
R B i is no clea how o de e mine which o hem
is he mos accu a e.
Howe e , his is e y impo an because i al-
lows us o know he deg ee o knowledge shown
by he D-M abou his own p oblem. The mo e
accu a e he quasi-o de , he be e he knowl-
edge o he p oblem. Mo eo e , i seems na u al
ha he accu acy o a ela ion is in e sely p opo -
ional o he magni ude o i s se o weigh s as is
p oposed by Rios [18], so we de ine he accu acy
o
R A
in he ollowing way.
De ini ion
2.2. Gi en a Q-ope a o A, he accu-
acy o
RA,
AC(RA), is de ined as IXn_l(C~) /
/xn_l(C~), whe e /x,_ 1 ep esen s he Lebesgue
measu e in Nn-~.
The limi alues o he accu acy a e gi en in
he ollowing p oposi ion•
P oposi ion
2.1. I A is a Q-ope a o , hen 1 <
AC(RA) < + oo.
P oo . Fi s o all, ix~_l(C~)<lx,_~(C -), VA E
N~xn. Second, as A -1 > 0, C~ is a simplex in he
hype plane El<_i<,wi = 1 and /X,_x(C~)>0.
Then 1 _< AC(R A) < +m. []
The alue 1 co esponds o he i s no-in o -
ma ion case and, hence, we can see he accu acy
as a educ ion measu e o he se o weigh s.
Mo e p ecisely e e y ope a o ha gene a es an
o de on R n has an accu acy +~. An o de
ela ion o his kind could be seen as he limi
case o a con e gen sequence o quasi-o de s
wi h inc easing and mo e p ecise in o ma ion.
Finally we shall gi e he exp ession o he
accu acy:
Theo em
2.3. Le A be a Q-ope a o . Then,
AC(R A) = [de (A)lFIl<j_<~/xj, whe e z k was de-
ined in (7).
P oo . Fi s , ecall ha he olume o he simplex
gene a ed by he poin s xX,..., x n in ~-1 is [1]
1 1 ... 1
1 x~
x 2 ...
x~'
(n- 1)~ de ".
X 1 X 2 X n
n--1 n--1 • " " n--1
Le e i ~ ~" be he ec o whose i- h componen
is one and ze o he es . Conside he sys em o
e e ence ~ in he hype plane H = {w:ew = 1}
ha has e 1 as o igin and he ec o s e i-e 1,
i = 2 ..... n, as gene a o s. Then, any poin w =
(wa,. •., w n) ~ H has coo dina es (w2,..., w n) in
~9~. By Theo em 2.1, CJ is gene a ed by he ec-
o s
Olli// ]Z i I
azz/ Zi. ], i= l,...,n.
I
Olni/~i ]
Hence,
AC(RA)
0/21/],-£1 0/22///£ 2 ...
012n/1.£ n
= de . .
O/nl//l-L 1 ang///L~ 2 ...
Olnn//l~n
Thus ( ecall ha /-~i = E]=laij, Vi),
AC(RA)
[ a11//]£ 1 O/12///'£2 ...
Olln//~n --1.
= de " -.
O/nl//~L~ 1
Oln2/~ 2 ... ann/]£n
In o he wo ds,
1
AC(RA) = [de (A-1)[FI]=l(1//xj)
n
= [de (A) I 1-I/xj,
j=l
as asse ed. []
Example 2.1. Fo he quasio de
R A
desc ibed in
Rema k 2.1, one has ha de (A)= 1 and /xj =j,
Vj', hus AC(R A) = n!
E. Ca izosa e al. / Eu opean Jou nal o Ope a ional Resea ch 81 (1995) 291-301
297
Fo he quasio de s
R A
and
RA~
in oduced in
Example 1.1, he imp o emen in he o de ela-
ion om
R A
o
RA1
can be measu ed by means
o he accu acy: AC(R A) = 67.5 and AC(Rq)=
171.5.
3. Some amilies o Q-ope a o s
The wides class o ope a o s we can deal wi h
is cha ac e ized in Theo em 2.2. Howe e , he
condi ion shown in he p e ious pa ag aph is
di icul o check be o ehand. So in o de o
enable he D-M o apply hese ela ions, we
p opose wo sub-classes belonging o he o iginal
one wi h h ee impo an p ope ies:
1. o know be o ehand ha hey belong o he
b oad class;
2. o be easy o he D-M o unde s and and
accep ;
3. o be su e ha he se o weigh s i gene a es
is no emp y.
A p ocedu e o ob ain a class o hese ope a o s
consis s in o e ing he D-M he compa ison o
each c i e ion i(-) wi h a mos a coali ion o he
emaining c i e ia.
Usually, he exac de e mina ion o he weigh s
is made by he ade-o be ween a c i e ion and
he emainde s. Bu his me hodology canno be
used i he D-M does no gi e i s p e e ences so
p ecisely.
Al e na i ely, ou app oach p oposes o e-
place his equi alence by inequali ies which a e
qui e accep able o he D-M. In his p ocess, he
mo e p ecise in o ma ion he D-M supplies, he
mo e accu a e he quasi-o de i gene a es, and
hence i is close o he ca dinal u ili y.
The e o e, he in o ma ion equi ed om he
D-M abou he c i e ion
i(.)
which he is willing
o gi e, will ha e he ollowing o m:
Wi ~--- E aijwj, aij ~ O, E aij ~ 1,
j4=i j~i
whe e
aij
ep esen s he minimum ma ginal sub-
s i u ion a e o
i
o j. We should no ice ha
when no in o ma ion is a ailable, his kind o
ela ion will be wi > 0. Bu , e en by supplying
small alues o
ais
one imp o es he accu acy o
he quasi-o de gi en by he D-M and a oids he
p oblem o he exac es ima ion o he weigh s
(ca dinal u ili y).
Example 3.1. We shall deal wi h he ollowing
example in which he D-M has h ee objec i es, a
se X o easible al e na i es, and he is able o
gi e he equi ed in o ma ion in he o m o
inequali ies.
W 1 ~ 0.5W2,
W 2 ~ 0.5W 1 q- 0.5W3,
w 3 > 0.5w 2 .
Then he ope a o is de ined by he ma ix
A,
whose ex eme poin s a e gi en by he columns o
he second ma ix and he in e al weigh s a e
1 -0.5 0
A = -0.5 1 -0.5
0 -0.5 1
1 1 1
2 4 ~ W1 ~ [61 ' 1]
1 1 1
E = 3 2 X
W2 ~ [31-' 1].
: : :
w.~[L½]
6 4 g
Hence i s accu acy AC(R A) = 18.
This example sugges s he possibili y ha hese
kinds o ope a o s ha e he p ope y o in e se
posi i e. In o de o cla i y he e ms used in he
ollowing esul s we in oduce wo classical con-
cep s [16].
De ini ion 3.1. A linea ope a o A ~ R nxn is
diagonally dominan i
~_, laijl < laiil, i= l,...,n,
]~i
and s ic ly diagonally dominan i s ic inequali-
ies hold o all i = 1 ..... n.
The esul sugges ed by he example abo e is
s a ed in he ollowing heo em.
Theo em 3.1.
Le A ~ ~nXn be a diagonally domi-
nan linea ope a o such ha
aij <_
0,
i ~ j,
aii >
0,
V i = 1 ..... n, and
de (A) ~ 0.
Then A -: > O.
298
E. Ca izosa e aL ~Eu opean Jou nal o Ope a ional Resea ch 81 (1995) 291-301
P oo . Fo simplici y and wi hou loss o gene al-
i y, we conside
aii = 1, Vi.
As A is
diagonally
dominan , he inequali ies
aii
>~
--Y'.j~iaij, Vi =
1 .... ,n,
hold. Then e e y
co ac o Aij
o he
ma ix A is nonnega i e [4].
Le A -1 be he in e se o
A,
whose elemen s
a e
a u =Aii/de (A).
Then he sign o aij., Vi, j,
coincides wi h he sign o de (A) and
de (A)
1 a12
... aln
0 1 -- a12a21
... a2n -- alna21
= de
0 an2 -- al2anl ... 1 -- alnanl
1 a12 "'" aln ~
= de O A 1
J
=dee(A1).
Besides, he ma ix A~ is diagonally dominan
because o all i = 2 .... , n hei elemen s e i y
1 - aliail
>
0 and
1+
~ aij+ail (-
~au)>l+
Zaij>_O.
j¢i,j~a j4=l / j#i
Thus, we can epea his easoning n imes and
we ob ain ha de (A) > 0. []
Co olla y 3.1.
Le A ~
~x~
be a s ic ly diago-
nally dominan linea ope a o such ha aii ~
0,
i =~ j, aii > O, Vi = 1 ..... n. Then A- 1
~
O.
he can compa e he impo ance o se e al c i e ia
be ween hem. So he exp ession ob ained o he
c i e ion ~ anked in i- h posi ion is
wi>- ~,auw j, ai~>-O,
j>i
whe e
ai
ep esen s he minimum ma ginal sub-
s i u ion a e o
i
o p
In his sub-class he h ee p ope ies enume -
a ed a he beginning o Sec ion 3 also hold and
hey belong o he class cha ac e ized by Theo-
em 2.2.
Theo em 3.2.
Le A ~ W '×n be a diagonal posi i e
iangula linea ope a o such ha a u < O, Vj > 1.
Then A- 1 > O.
P oo . In his si ua ion de (A)=
~[l<i<naii >
0
and he co ac o s a e
Aij= ]'-I
akk>0
Vi < j,
k~i,k~j
Aii = YI akk > O,
i = l,...,n,
k~i
Aq=0
Vi>j.
Hence, easons analogous o he ones we used in
Theo em 3.1 p o e his heo em. []
4. Non-homogeneous Q-ope a o s
This class o ope a o s is closely ela ed o a
well known amily o linea ope a o s called M-
ope a o s [16,25], bu he i s one exhibi s in i s
a o he easy in e p e abili y and manipula ion
because he M-ope a o s equi e p ope ies o
i educibili y o s ic diagonal dominance, no
needed in he p oposed class.
I mus also be no ed ha he well known
o dinal ela ion men ioned in Rema k 2.1 is an
example o such an ope a o .
Ano he impo an sub-class o ope a o s be-
longing o he class cha ac e ized by Theo em 2.2
a e he iangula and nonposi i e o -diagonal
elemen s. This ype o ope a o co esponds o
he si ua ion in which he D-M is able o do a
ce ain ank o de in he c i e ia and in addi ion,
On many occasions, he D-M is willing o
ob ain a leas ce ain le els in his weigh s [14], so
he quasi-o de is gi en by a linea ope a o A
and a le el ec o A _> 0. In his case, he se o
easible weigh s is gi en by he poly ope
(w ~ ~ :w >__ O, Aw >_, ,
C~,~) =
w i
= 1 / . (8)
E
i=l,...,n I
Hence he pai (A, A) induces he ela ion
R(A,a )
gi en by
XR(A,;~)y
i
w( (x)-- (y)) >O
Vw e C(5,, ). (9)
E. Ca izosa e al. /Eu opean Jou nal o Ope a ional Resea ch 81 (1995) 291-301
299
An in e es ing ype o hese ela ions a e hose
de ined by a ma ix A wi h non-nega i e in e se
(componen wise) and eA-1A < 1. In wha ollows
we say hese ela ions a e induced by a non-ho-
mogeneous Q-ope a o (A, A). To his kind o e-
la ions we can ex end all he p e ious esul s wi h
minimum e o as can be seen om he ollowing
heo em.
Theo em
4.1. Le (A, A) be a non-homogeneous
Q-ope a o . Then
w -A-1A
w~C~,A) i l_eA_lh ~CJ.
P oo .
w~C A,h ) i 3 >OIAw=h + , w>0,
ew = 1; i.e. ( ecall ha
A -1 >__ 0):
w~C~,~) i 3 >OIw-A-~h=A-l ,
ew = 1.
As e(w
-A-1A) =
1 - eA-1h > 0, i ollows ha
1
w~C~,x) i :l >Ol l_eA_lh (W-A-1h)
=A -1 i
3 >__0[W =A-i ,
1 -
eA-1h
e~ = 1,
w -A-1A
whe e - 1-eA-1A i ~C~.
Which concludes he p oo . []
Co olla y
4.1. I (A, A) is a non-homogeneous
Q-ope a o , hen he se C(~,x) is he con ex hull o
he columns o he ollowing ma ix:
/x11(1
- Eke_l ZkAk)
A2
A_I[ 1 -
mogeneous case, we wish o pay some a en ion
o he ollowing p oblem. We know ( ecall Re-
ma k 2.3) ha he e exis many quasi-o de s ha
p oduce he same in e als o hei weigh s; bu ,
a e he e any o hem which mus be empha-
sized?
The answe is a i ma i e and among hese
ope a o s one is pa icula ly in e es ing; i is
known in he li e a u e as E-cone [24] which is
one o ou non-homogeneous Q-ope a o s. This
kind o ope a o ( he E-cone) is based on ela-
ions o he o m w i>_k i, i = 1,...,n (one pe
objec i e)• Thei wo main p ope ies a e ha he
se o weigh s i de ines includes he in e al
weigh s conside ed be o ehand and also is mini-
mal (in he inclusion sense among he ope a o s
o his kind). We s a e and p o e his in he
ollowing heo em•
Le k = (k 1 .... , k n) >_ 0. Conside he se
C+(l,k)---- ( ~n Wi__ Wi= }
w ~ : >ki; ~ 1
l <_i <_n
and o each a,/3 ~ ~n such ha 0 _< ag _< ig _< 1,
Vi, and F,~=la i < 1 < E~=I/3g, he se (see [2])
X(a,13)=(w~n:O NWN/3;
~ wi=l}.
l <_i <_n
Theo em
4.2. The ec o k = (kl,..., k n) wi h k i
= max(a i, 1 - Ej~//3j), i = 1 ..... n, de e mines
he minimum se C Lk) con aining he se X(~, ~).
A 1
1 -/xKl(1 - Ek,2/ZkAk)
An
whe e IX j, j = 1 ..... n, we e de ined in (7).
... A 1
''• /~2
... 1--/X21(1--Ek.n~k; k)
Al hough all he p ope ies holding in he ho-
mogeneous case can be ex ended o he non-ho-
P oo .
Fo all (kl,..., k n) >_ O,
El <_i<_nki __<
1, one
can ob ain, using Co olla y 4,1, ha C(~,k ) is he