Supermodular and ultramodular aggregation evaluators

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1 Supermodular ad ultramodular aggregatio evaluators Marta Cardi 1 ad Maddalea Mazi 2 1 Dept. of Applied Mathematics, Uiversity of Veice, Dorsoduro 3825/E, Veice, Italy mcardi@uive.it 2 Dept. of Pure ad Applied Mathematics, Uiversity of Padua, via Trieste, 63, Padua, Italy mmazi@math.uipd.it Received: July 2008 Accepted: April 2009 Abstract. This paper presets the costructio of a ew kid of evaluators, which are studied o a vector lattice. I particular, by usig a importat idetity o a vector lattice, we prove a characterizatio of supermodular property ad we costruct supermodular evaluators, briefly amed SM-evaluators. The i a particular lattice SM-evaluators become aggregatio fuctios. Similarly we costruct ultramodular evaluators, briefly amed UM-evaluators. Keywords. Evaluators, aggregatio fuctios, supermodularity, lattices, vector lattices. M.S.C. classificatio. 90B50, 91B82, 60A10, 60E15. J.E.L. classificatio. C02. 1 Itroductio Normalized scalar evaluators were characterized i [9] as real fuctios which obey oly two properties: boudary requiremets ad mootoicity. Evaluators o a complete lattice have bee studied i [3] with a ivestigatio about T L ad S L evaluators. Our purpose i this work is to study supermodular property for ormalized scalar evaluators o a complete vector lattice, which is ot ecessarily of fiite dimesio. I fact o vector lattices we have some simple but importat results ad i particular we study the complete vector lattice [0, 1] for studyig aggregatio of supermodular evaluators. First of all we recall some cocepts ad results largely discussed i [22]. The we study ormalized scalar evaluators from complete vector lattices ad we recall some defiitios give i [4]. A particular complete vector lattice is [0, 1] ad it is iterestig for our aalysis to study aggregatio operators, their compositios ad relatioships with evaluators ad the particular case of supermodular aggregatio evaluators.

2 2 Marta Cardi ad Maddalea Mazi 2 Lattices ad Vector Lattices A partially ordered set (poset) is a set X o which there is a biary relatio that is reflexive, atisymmetric ad trasitive. The set R = {x = (x 1,..., x ) : x i R 1 for i = 1,..., } with the orderig relatio where x x i R if x i x i i R 1 for i = 1,..., is a partially ordered set. If two elemets, x ad x, of a partially ordered set X have a supremum (ifimum) i X, it is their joi (meet) ad is deoted x x (x x ). A partially ordered set that cotais the joi ad the meet of each pair of its elemets is a lattice. For ay positive iteger, R is a lattice with x x = (x 1 x 1,..., x x ) ad x x = (x 1 x 1,..., x x ) for x ad x i R. If X is a subset of a lattice X ad X cotais the joi ad meet (with respect to X) of each pair of elemets of X, the X is a sublattice of X. For example the closed itervals of a lattice are sublattices. Moreover, a lattice i which each oempty subset has a supremum ad a ifimum is complete. If X is a sublattice of a lattice X ad if, for each oempty subset X of X, sup X (X ) ad if X (X ) exist ad are i X, the X is a subcomplete sublattice of X. A sublattice of R is subcomplete if ad oly if it is compact (Theorem i [22]). Moreover a vector lattice is a ordered vector space whose uderlyig poset is a lattice. We use the term Riesz space to mea a real vector lattice, i.e., a vector lattice over R. It is well kow that spaces R of all vectors [x 1,..., x ] with real compoets, R d of all ifiite sequeces x 1, x 2, x 3,... of real umbers, ad R c of all real fuctios f(x) defied o the iterval 0 x 1 are complete vector lattices. It is also clear that ay subspace of a vector lattice, which is a sublattice as well, is a vector lattice. That is, if a subset cotais with ay f ad g also f +g, f g, f g ad every λf, the it is a vector lattice relative to the same operatios. We recall also that i a geeral vector lattice L V we have the followig idetity (see page 207 i [19]), x, y L V x + y = x y + x y. (1) 3 Supermodularity ad ultramodularity o vector lattices Now we cosider a vector lattice L V ad a vector sublattice X L V. We recall also the followig defiitio of supermodularity. Defiitio 1. A fuctio f : X R is said supermodular if for every x, y X f(x y) + f(x y) f(x) + f(y). The cocept of supermodularity is strictly coected to the cocept of icreasig differeces, so that we give the followig defiitio ad result.

3 Supermodular ad ultramodular aggregatio evaluators 3 Defiitio 2. A fuctio f : X R is said to have icreasig differeces o X iff f(x + h + h ) f(x + h) f(x + h ) f(x), for all x X ad all h, h X + with h h, where X + = {x X : x 0} is the positive coe of X. Theorem 1. Let X L V ad f : X R. The f is supermodular o X if ad oly if f has icreasig differeces o X. Proof. ( ) Pick x ad y X ad set h = x x y, h = y x y. The h h = (x x y) (y x y) = (x y) (x y) = 0, i.e. h h. Sice x + y = x y + x y, for all x, y L V, replacig x by h + x y ad y by h + x y we get x y = x y + h + h. Sice f(a + h + h ) f(a + h) f(a+h ) f(a) for h ad h X + as chose ad every a L V, takig a = x y we get supermodularity. ( ) Pick a L V ad h, h X + such that h h. Let x = a + h ad y = a + h. Clearly, x y = a + h h = a. Hece, x y = a + h h = a + h + h h h = a + h + h. Usig the defiitio of supermodularity we get the property of icreasig differeces. Now we cosider the ultramodular (or directioally covex) fuctios, a class of fuctios that geeralizes scalar covexity ad that aturally arises i some ecoomic ad statistical applicatios (see [13] ad [20]). Defiitio 3. A fuctio f : X R is said to be ultramodular iff for all x X with h, k X +. f(x + h + k) f(x + k) f(x + h) f(x) Propositio 1. A fuctio f : X R is ultramodular if ad oly if f(x 3 ) f(x 1 ) f(x 4 ) f(x 2 ) for all collectios {x 1, x 2, x 3, x 4 } of vectors i X such that x 1 x 2 x 4 ad x 1 + x 4 = x 2 + x 3. Proof. By defiitio ad replacig x 4 by x + h + k, x 3 or x 2 by x + h or x + k, ad x 1 by x, where h, k X +, we immediately get the result. 4 Supermodular ad ultramodular evaluators As i [4] we cosider a complete sublattice (X,,, ), which is i our case a vector sublattice too with the least ad the greatest elemets ad, respectively ad we will focus o the evaluatio of elemets from L V by real umbers i the uit iterval. Defiitio 4. A fuctio φ : X [0, 1] is said to be a evaluator o X iff it satisfies the followig properties:

4 4 Marta Cardi ad Maddalea Mazi φ( ) = 0, φ( ) = 1, φ(x) φ(y) for all x, y X such that x y. A evaluator φ is called existetial if for arbitrary x X, φ(x) = 0 x =. A evaluator φ is called uiversal if for arbitrary x X, φ(x) = 1 x =. The stadard compariso of real umbers allows us to compare evaluators o the same system of objects. I this case we utilize the usual poitwise orderig of fuctios. This meas that if φ 1 ad φ 2 are two evaluators o X, we say that φ 1 is greater tha φ 2, with otatio φ 2 φ 1 if for all x X, φ 2 (x) φ 1 (x). The greatest evaluator is the existetial evaluator φ E defied for all x X by { 0 if x =, φ E (x) = 1 otherwise. The smallest evaluator is the uiversal evaluator φ U defied for all x X by { 1 if x =, φ U (x) = 0 otherwise. Now we itroduce the modular, supermodular ad ultramodular evaluators o the geeral complete vector sublattice X L V. Defiitio 5. A operatio SM : X [0, 1] is said to be a supermodular evaluator iff it is a evaluator ad it satisfies the followig property: SM(x y) + SM(x y) SM(x) + SM(y). I the case of equality i the above equatio, we have the modular evaluator. Defiitio 6. A operatio U : X [0, 1] is said to be a ultramodular evaluator (UM evaluator for short) iff U is a evaluator satisfyig the property: U(x 1 ) + U(x 4 ) U(x 2 ) + U(x 3 ) for all collectios {x 1, x 2, x 3, x 4 } of vectors i X such that x 1 x 2 x 4 ad x 1 + x 4 = x 2 + x 3. For a detailed study of the properties of supermodular ad ultramodular fuctios we refer to [13], [14], [20], [21] ad [22] as well as the refereces therei. Oe of the most importat cosequece is that the t-orms are SM evaluators, while the t-coorms are ot. It is kow that aggregatio of evaluators yields a evaluator (see Propositio 1 i [4]). Now we cotiue the discussio about aggregatio of several kids of evaluators ad we will focus o aggregatio of supermodular evaluators. We

5 Supermodular ad ultramodular aggregatio evaluators 5 would like to kow which aggregatio of supermodular evaluators yields a supermodular evaluator. Let K 1,..., K m : X [0, 1], i = 1, 2,..., m be SM evaluators. A vector fuctio K : X [0, 1] m give by K(x) = (K 1 (x),..., K m (x)) is said to be a SM evaluator. Propositio 2. If ψ : [0, 1] m [0, 1] is a icreasig UM evaluator ad K: X [0, 1] m is a icreasig SM evaluator, the the fuctio H : X [0, 1]give byh(x 1,..., x ) = ψ(k)(x) = ψ(k 1 (x),..., K m (x)) is a SM evaluator. Proof. We cosider 3 vectors x, h, k such that h, k 0 ad h k. For all i = 1,..., m, K i (x + h + k) K i (x + k) K i (x + h) K i (x) ad the there exist s i, t i with s i t i 0 such that K i (x + h + k) = K i (x + k) + s K i (x + h) = K i (x) + t i. So there exist s, t vectors i R m such that s t 0 ad K(x + h + k) = K(x + k) + s K(x + h) = K(x) + t. Sice ψ is a icreasig UM evaluator ad K is icreasig i each variable oe has: ψ(k)(x + h + k) ψ(k)(x + k) = ψ(k(x + k)) + s) ψ(k(x + k)) ψ(k(x + k) + t) ψ(k(x + k)) ψ(k(x) + t)) ψ(k(x)) = ψ(k(x + h)) ψ(k(x)) = ψ(k)(x + h) ψ(k)(x). Corollary 1. Let A be a SM evaluator. If ϕ : [0, 1] [0, 1] is a cotiuous icreasig ad covex fuctio with ϕ(0) = 0 ad ϕ(1) = 1 the the fuctio is a SM evaluator. A ϕ (x) := ϕ (A(x 1,..., x )) Proof. It is obvious that A ϕ ( ) = 0 ad A ϕ ( ) = 1. The, it suffices to apply the above theorem to the fuctio H(x 1,..., x ) = ψ(k 1 (x)), with ψ = ϕ ad K 1 = A. I fact scalar covex fuctios are ultramodular ad so ψ is icreasig ad ultramodular.

6 6 Marta Cardi ad Maddalea Mazi 5 The [0, 1] case A particular ad importat kid of evaluator is the aggregatio fuctio. Let N, 2. A ary aggregatio fuctio is a mappig A from N [0, 1] ito [0, 1] that satisfies the followig properties: (A1) A(0,..., 0) = 0 ad A(1,..., 1) = 1; (A2) A is icreasig i each compoet. Each aggregatio fuctio A ca be caoically represeted by a family (A () ) N of -ary operatios, e.g., fuctios A () : [0, 1] [0, 1], give by A () (x 1,..., x ) = A(x 1,..., x ). Each fuctio A () is a evaluator o the complete vector lattice ([0, 1],,, ). If A(x 1,..., x ) = 0 implies that x i = 0 for i = 1,...,, we say that aggregatio operator A does ot have zero divisors. I this case, fuctio A () is a existetioal evaluator ad A is a existetioal aggregator. If A(x 1,..., x ) = 1 implies that x i = 1 for i = 1,...,, fuctio A () is a uiversal evaluator ad A is a uiversal aggregator. Now we study particular families of SM evaluators o the complete vector lattice ([0, 1],,, ) used for the aggregatio of evaluated elemets from [0, 1]. Propositio 3. The quasi arithmetic mea M f (x) := f 1 ( f(x1 ) + + f(x ) where f : [0, 1] R is a cotiuous strictly mootoe fuctio, is a SM evaluator if ad oly if f 1 is covex. Proof. M f is a SM aggregatio evaluator if, ad oly if, for ay couple of itegers α, β, such that 1 α < β, M f (x α, x β ) = M f (a 1,..., a α 1, x α, a α+1,..., a β 1, x β, a β+1,..., a ) is a SM evaluator, if ad oly if f 1 is covex. Due to wellkow characterizatio of quasi-arithmetic meas M f bouded from above by the arithmetic mea M (see lemma 1 i [5]) we have the ext result. Corollary 2. M f is a SM aggregatio evaluator if ad oly if M f M. A similar result holds for weighted quasi-arithmetic meas, that is with - dimesioal weightig vector w = (w 1,..., w ) [0, 1] such that ( i=1 w i = 1 ad W f (x) := f 1 P ) i=1 w if(x i ) we have: Corollary 3. W f is a SM aggregatio evaluator if ad oly if W f W. ),

7 Supermodular ad ultramodular aggregatio evaluators 7 Proof. From covexity of f 1 ad Jese s iequality we have: ( W f (x) = f 1 i=1 w ) ( if(x i ) i=1 w if 1 ) (f(x i )) = i=1 = w ix i = W (x). Propositio 4. Let f i : [0, 1] [0, 1] be icreasig fuctios such that f i (0) = = 0 ad f i (1) = 1, i = 1, 2...,. If A is a SM evaluator, the the fuctio defied by A f1,...,f (x 1,..., x ) := A(f 1 (x 1 ),..., f (x )) is a SM aggregatio evaluator. Proof. It is obvious that A f1,...,f (0,..., 0) = 0, A f1,...,f (1,..., 1) = 1 ad A f1,...,f is icreasig i each place. Moreover, give x j 1 xj 2, j = 1,...,, oe obtais A f1,...,f (x 1 1, x 2 1,..., x 1 ) + A f1,...,f (x 1 2, x 2 2,..., x 2 ) A f1,...,f (x 1 2,..., x h 2, x h+1 1,..., x 1 ) + A f1,...,f (x 1 1,..., x h 1, x h+1 2,..., x 2 ), because A is a SM evaluator ad f i are icreasig. Corollary 4. Let A be a SM aggregatio evaluator ad ϕ : [0, 1] [0, 1] be a cotiuous strictly mootoe fuctio with ϕ(0) = 0 ad ϕ(1) = 1. The the followig statemets are equivalet: (a) ϕ is cocave; (b) the fuctio A ϕ (x) := ϕ 1 (A(ϕ(x 1 ),..., ϕ(x ))) is a SM aggregatio evaluator. Proof. (a) (b) If ϕ is cocave ad positive, the ϕ 1 is covex. By Corollary 1 ad Propositio 4 we have the result. (b) (a) If A ϕ (x) is a SM aggregatio evaluator, we ca cosider ( ) M ϕ (x) := ϕ 1 ϕ(x1 ) + + ϕ(x ). By Propositio 3, M ϕ (x) a SM aggregatio evaluator if ad oly if ϕ 1 is covex. So, ϕ is cocave. A special subclass of SM evaluators is that formed by modular aggregatio fuctios, i.e. those A s for which A(x y) + A(x y) = A(x) + A(y), for all x, y [0, 1]. For these operators the followig characterizatio holds.

8 8 Marta Cardi ad Maddalea Mazi Propositio 5. For a aggregatio operator A the followig statemets are equivalet: (a) A is modular; (b) there exist icreasig fuctios f i : [0, 1] [0, 1] such that f i (0) = 0, i = 1,...,, i=1 f i(1) = 1, ad A(x 1,..., x ) = f i (x i ); (2) (c) A is strogly additive, i.e., if x y = 0 ad x + y [0, 1], the A(x + y) = A(x) + A(y). Proof. (a) (b) If A is modular, set f i (x i ) := A(0,..., x i,..., 0), i = 1,...,. From modularity of A we get ad also, i=1 A(x) + A(0) = A(x 1, 0..., 0) + A(0, x 2,..., x ) = = f 1 (x 1 ) + A(0, x 2,..., x ), A(0, x 2,..., x ) + A(0) = A(0, x 2, 0..., 0) + A(0, 0, x 3..., x ) = = f 2 (x 2 ) + A(0, 0, x 3,..., x ), which implies (b) recursively. (b) (c) A(x + y) = A(x 1 + y 1,..., x + y ) = i=1 f i(x i + y i ). Sice x y = 0, the i=1 f i(x i + y i ) = i=1 (f i(x i ) + f i (y i )), i.e. A(x + y) = A(x) + A(y). (c) (a) By (1) x + y = x y + x y. So, A(x y) + A(x y) = A(x + y) = A(x) + A(y). 6 Coclusio Aggregatio of evaluators by a aggregatio operator yields a evaluator [4]. I this work we have show that aggregatio of supermodular evaluators yields a supermodular evaluator ad i several cases a supermodular aggregatio evaluator. I particular we have aalyzed supermodularity property for quasi-arithmetic meas, by usig appropriate fuctios o [0, 1]. So we have studied this kid of trasformatio i geeral to preset some iterestig applicatios i our future work. Refereces 1. Birkhoff, G.: Lattice Theory. Amer. Math. Soc. Colloq. Publ. XXV, Amer. Math. Soc., New York City (1948)

9 Supermodular ad ultramodular aggregatio evaluators 9 2. Block, H. W., Griffith, W. S., Savits, T. H.: L-Superadditive Structure Fuctios. Adv. i Appl. Probab. 21(4) (1989) Bodjaová, S.: T L ad S L evaluators. I: Proceedigs of AGOP 2007, Ghet, Academia Press (2007) Bodjaová, S.: T L ad S L evaluators: aggregatio ad modificatio. Acta Uiv. Mathaei Belii. Nat. Sci. Ser. Ser. Math. 14 (2007) Calvo, T., Mesiar, R.: Aggregatio operators: orderig ad bouds. Fuzzy Sets ad Systems 139(3) (2003) Calvo, T., Mesiar, R., Mayor, G. (eds.): Aggregatio operators. New treds ad applicatios. Studies i Fuzziess ad Soft Computig 97, Physica Verlag, Heidelberg (2002) 7. Calvo, T., Pradera, A.: Double aggregatio operators. Fuzzy Sets ad Systems 142 (2004) Deeberg, D.: No-Additive Measure ad Itegral. Kluwer Academic Publishers, Dordrecht (1994) 9. Dubois, D., Ostasiewicz, W., Prade, H.: Fudametals of fuzzy sets. The Hadbooks of Fuzzy Sets Series, 7, Dubois, D., Prade H. (eds.) Kluwer Academic Publishers, Bosto, MA (2000) 10. Durate, F., Mesiar, R., Papii, P.L., Sempi, C.: 2 icreasig biary aggregatio operators. Iform. Sci. 177(1) (2007) Grabisch, M.: Fuzzy itegral i multicriteria decisio makig. Fuzzy Sets ad Systems 69 (1995) Jese, M. K.: Mootoe Comparative Statics i Ordered Vector Spaces. The B. E. Joural of Theoretical Ecoomics 7(1) (2007) Article Mariacci, M., Motrucchio, L.: Ultramodular fuctios. Math. Op. Res. 30(2) (2005) Marshall, A. W., Olki, I.: Iequalities: Theory of Majorizatio ad Its Applicatios. Academic Press, New York (1979) 15. Mesiar, R., Sempi, C.: Ordial sums ad idempotets of copulas, submitted. 16. Morillas, M.P.: A characterizatio of absolutely mootoic ( ) fuctios of a fixed order. Publ. Ist. Math. (Beograd) (N. S.), tome 78 (92) (2005) Morillas, M.P.: A method to obtai ew copulas from a give oe. Metrika 61 (2005) Nelse, R. B.: A itroductio to copulas. Lecture Notes i Statistics, 139, Spriger, New York (1999) 19. Schaefer, H. H., Wolff, M. P. H.: Topological Vector Spaces. Secod Editio, revised, Spriger (1999) 20. Shaked, M., Shatikumar, J.C.: Stochastic orders. Spriger, New York (2007) 21. Topkis, D. M.: Miimizig a Supermodular Fuctio o a Lattice. Op. Res. 26 (1978) Topkis, D. M.: Supermodularity ad Complemetarity. Priceto Uiversity Press, Priceto (1998) 23. Yager, R.R.: O ordered weighted averagig aggregatio operators i multicriteria decisio makig. IEEE Tras. Syst., Ma Cyber. 18 (1988)

10 10 Marta Cardi ad Maddalea Mazi

If a subset E of R contains no open interval, is it of zero measure? For instance, is the set of irrationals in [0, 1] is of measure zero?

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