Generalizatio n of Funda mental Theore m of Pro bability Lo gic

Σχετικά έγγραφα
J. of Math. (PRC) Shannon-McMillan, , McMillan [2] Breiman [3] , Algoet Cover [10] AEP. P (X n m = x n m) = p m,n (x n m) > 0, x i X, 0 m i n. (1.

K. Hausdorff K K O X = SDA. symbolic data analysis SDA SDA. Vol. 16 No. 3 Mar JOURNAL OF MANAGEMENT SCIENCES IN CHINA

Quick algorithm f or computing core attribute

On Certain Subclass of λ-bazilevič Functions of Type α + iµ

Homomorphism in Intuitionistic Fuzzy Automata

On Generating Relations of Some Triple. Hypergeometric Functions

PACS: Pq, Tp

CDMA. Performance Analysis of Chaotic Spread Spectrum CDMA Systems. LI Xiao - chao, GUO Dong - hui, ZENG Quan, WU Bo - xi RESEARCH & DEVELOPMENT

A summation formula ramified with hypergeometric function and involving recurrence relation

A study on generalized absolute summability factors for a triangular matrix

A research on the influence of dummy activity on float in an AOA network and its amendments

Research on Real-Time Collision Detection Based on Hybrid Hierarchical Bounding Volume

Pro duction Technology and Technical Efficiency in ( k, y) Sp ace

Distributed method for measuring moisture content of soils based on C-DTS

Vol. 31,No JOURNAL OF CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY Feb

ANOTHER EXTENSION OF VAN DER CORPUT S INEQUALITY. Gabriel STAN 1

Commutative Monoids in Intuitionistic Fuzzy Sets

On Inclusion Relation of Absolute Summability

J. of Math. (PRC) Banach, , X = N(T ) R(T + ), Y = R(T ) N(T + ). Vol. 37 ( 2017 ) No. 5

ER-Tree (Extended R*-Tree)

Prey-Taxis Holling-Tanner

A Bonus-Malus System as a Markov Set-Chain. Małgorzata Niemiec Warsaw School of Economics Institute of Econometrics

M in ing the Com pa tib ility Law of M ultid im en siona l M ed ic ines Ba sed on D ependence M ode Sets

High order interpolation function for surface contact problem

ACTA MATHEMATICAE APPLICATAE SINICA Nov., ( µ ) ( (

Ψηφιακή Επεξεργασία Εικόνας

An A lgor ithm of M ea sur ing Var ia tion D egree for Fea ture M odel

Journal of Central South University (Science and Technology) Jun i p i q

Fuzzifying Tritopological Spaces

INTEGRATION OF THE NORMAL DISTRIBUTION CURVE

Rapid Acquisitio n of Doppler Shift in Satellite Co mmunicatio ns

Single-value extension property for anti-diagonal operator matrices and their square

COMMON RANDOM FIXED POINT THEOREMS IN SYMMETRIC SPACES

Binet Type Formula For The Sequence of Tetranacci Numbers by Alternate Methods

ON NEGATIVE MOMENTS OF CERTAIN DISCRETE DISTRIBUTIONS

DiracDelta. Notations. Primary definition. Specific values. General characteristics. Traditional name. Traditional notation

LAD Estimation for Time Series Models With Finite and Infinite Variance

PACS: Mj, Dp, Ta

Η ΔΙΑΤΗΡΗΣΗ ΤΗΣ ΙΔΙΟΤΗΤΑΣ IFR ΣΕ ΜΑΡΚΟΒΙΑΝΑ ΕΜΦΥΤΕΥΣΙΜΑ ΣΥΣΤΗΜΑΤΑ

SCITECH Volume 13, Issue 2 RESEARCH ORGANISATION Published online: March 29, 2018

Homomorphism of Intuitionistic Fuzzy Groups

Web-based supplementary materials for Bayesian Quantile Regression for Ordinal Longitudinal Data

ΣΠΟΥΔΑΣΤΡΙΑ : ΕΙΣΗΓΗΤΗΣ: Δρ. Στέφανος Γκούμας. Πτυχιακή Εργασία. Υβριδικά Συστήματα τταραγωγής Ηλεκτρικής Ενέργειας. Ευδοκία Πέλλη ΑΕΜ 1871

Congruence Classes of Invertible Matrices of Order 3 over F 2

ˆ ˆŠ Œ ˆ ˆ Œ ƒ Ÿ Ä Œμ Ìμ. ±É- É Ê ± μ Ê É Ò Ê É É, ±É- É Ê, μ Ö

Correction of chromatic aberration for human eyes with diffractive-refractive hybrid elements

Optimization Investment of Football Lottery Game Online Combinatorial Optimization

: Monte Carlo EM 313, Louis (1982) EM, EM Newton-Raphson, /. EM, 2 Monte Carlo EM Newton-Raphson, Monte Carlo EM, Monte Carlo EM, /. 3, Monte Carlo EM

Arbitrage Analysis of Futures Market with Frictions

Sensitivity analysis of microseismic positioning accuracy based on distribution models of influencing factors

Fractional Colorings and Zykov Products of graphs

Certain Sequences Involving Product of k-bessel Function

Intuitionistic Fuzzy Ideals of Near Rings

( ) , ) , ; kg 1) 80 % kg. Vol. 28,No. 1 Jan.,2006 RESOURCES SCIENCE : (2006) ,2 ,,,, ; ;

A Decomposition Algorithm for the Solution of Fractional Quadratic Riccati Differential Equations with Caputo Derivatives

Other Test Constructions: Likelihood Ratio & Bayes Tests

1 (forward modeling) 2 (data-driven modeling) e- Quest EnergyPlus DeST 1.1. {X t } ARMA. S.Sp. Pappas [4]

Solving Agent coalition using adaptive particle swarm optimization algorithm

Optimization Investment of Football Lottery Game Online Combinatorial Optimization

A Note on Intuitionistic Fuzzy. Equivalence Relation

Feasible Regions Defined by Stability Constraints Based on the Argument Principle

Schedulability Analysis Algorithm for Timing Constraint Workflow Models

T he Op tim al L PM Po rtfo lio M odel of H arlow s and Its So lving M ethod

GÖKHAN ÇUVALCIOĞLU, KRASSIMIR T. ATANASSOV, AND SINEM TARSUSLU(YILMAZ)

Lecture 2. Soundness and completeness of propositional logic

Πανεπιζηήμιο Πειπαιώρ Τμήμα Πληποθοπικήρ

Study of the Structure of Photonic Crystal Fiber with High Negative Dispersion Coefficient

JOURNAL OF APPLIED SCIENCES Electronics and Information Engineering TP (2012)

Approximation of distance between locations on earth given by latitude and longitude

Homework for 1/27 Due 2/5

Ranking method of additive consistent fuzzy judgment matrix considering scale

Research on Economics and Management

Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit

ΕΛΕΓΧΟΣ ΤΩΝ ΠΑΡΑΜΟΡΦΩΣΕΩΝ ΧΑΛΥΒ ΙΝΩΝ ΦΟΡΕΩΝ ΜΕΓΑΛΟΥ ΑΝΟΙΓΜΑΤΟΣ ΤΥΠΟΥ MBSN ΜΕ ΤΗ ΧΡΗΣΗ ΚΑΛΩ ΙΩΝ: ΠΡΟΤΑΣΗ ΕΦΑΡΜΟΓΗΣ ΣΕ ΑΝΟΙΚΤΟ ΣΤΕΓΑΣΤΡΟ

Finite-time output regulation method for a class of uncertain nonlinear systems

Gro wth Properties of Typical Water Bloom Algae in Reclaimed Water

Study on the Strengthen Method of Masonry Structure by Steel Truss for Collapse Prevention

Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in

Statistics 104: Quantitative Methods for Economics Formula and Theorem Review

p n r

Vol. 38 No Journal of Jiangxi Normal University Natural Science Nov. 2014

172,,,,. P,. Box (1980)P, Guttman (1967)Rubin (1984)P, Meng (1994), Gelman(1996)De la HorraRodriguez-Bernal (2003). BayarriBerger (2000)P P.. : Casell

SOME INTUITIONISTIC FUZZY MODAL OPERATORS OVER INTUITIONISTIC FUZZY IDEALS AND GROUPS

Last Lecture. Biostatistics Statistical Inference Lecture 19 Likelihood Ratio Test. Example of Hypothesis Testing.

Adaptive grouping difference variation wolf pack algorithm

DOI /J. 1SSN

Introduction of Numerical Analysis #03 TAGAMI, Daisuke (IMI, Kyushu University)

1. Introduction and Preliminaries.

ΤΕΧΝΟΛΟΓΙΚΟ ΕΚΠΑΙΔΕΥΤΙΚΟ ΙΔΡΥΜΑ (Τ.Ε.Ι.) ΠΕΙΡΑΙΑ ΣΧΟΛΗ ΔΙΟΙΚΗΣΗΣ ΚΑΙ ΟΙΚΟΝΟΜΙΑΣ ΤΜΗΜΑ ΔΙΟΙΚΗΣΗΣ ΕΠΙΧΕΙΡΗΣΕΩΝ ΚΑΤΕΥΘΥΝΣΗ: ΔΙΟΙΚΗΣΗΣ ΕΠΙΧΕΙΡΗΣΕΩΝ

Q L -BFGS. Method of Q through full waveform inversion based on L -BFGS algorithm. SUN Hui-qiu HAN Li-guo XU Yang-yang GAO Han ZHOU Yan ZHANG Pan

New Operations over Interval Valued Intuitionistic Hesitant Fuzzy Set

2. THEORY OF EQUATIONS. PREVIOUS EAMCET Bits.

5 Haar, R. Haar,. Antonads 994, Dogaru & Carn Kerkyacharan & Pcard 996. : Haar. Haar, y r x f rt xβ r + ε r x β r + mr k β r k ψ kx + ε r x, r,.. x [,

Nov Journal of Zhengzhou University Engineering Science Vol. 36 No FCM. A doi /j. issn

, Litrrow. Maxwell. Helmholtz Fredholm, . 40 Maystre [4 ], Goray [5 ], Kleemann [6 ] PACC: 4210, 4110H

Probabilistic Approach to Robust Optimization

Ανάλυση Προτιμήσεων για τη Χρήση Συστήματος Κοινόχρηστων Ποδηλάτων στην Αθήνα

PE CVVH PE+HP HP+CVVH HP+CVVH+PE CVVH. ENLAV of HCO - 3 ENLAV-HCO ± μmol /L HP+PE HP+CVVH HP+CVVH+PE

Reading Order Detection for Text Layout Excluded by Image

Supplemental Material: Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction

Transcript:

7 2007 7 ACTA ELECTRONICA SINICA Vol. 35 No. 7 July 2007 1,2, 1,3 (1., 710062 ; 21, 710049 ; 31, 716000) :,,., gp, 2. : ; ; ; ; ; gp2 : O142 : A : 037222112 (2007) 0721333208 Geeralizatio of Fuda metal Theore m of Pro bability Lo gic WANG Guo2ju 1,2,HUI Xiao2jig 1,3 (1. Istitute of Mathematics, Shaaxi Normal Uiversity, Xi a, Shaaxi 710062, Chia ; 2. Research Ceter for Sciece, Xi a Jiaotog Uiversity, Xi a, Shaaxi 710049, Chia ; 3. College of Mathematics ad Computer Sciece, Ya Uiversity, Ya, Shaaxi 716000, Chia) Abstract : By itroducig the cocepts of geeratig states set ad geeratig probability a simple ad direct proof of the fudametal theorem of probability logic is proposed. Next, by itroducig the cocept of aturally merged probability the fuda2 metal theorem has bee geeralized. Moreover,the preset paper exteds the cocept of 2cosistecy degree of fiite logic theo2 ries to be the cocept of gp2cosistecy degree ad therefore certai relatioship betwee probability logic ad quatitative logic has bee obtaied. Key words : ucertaity ; geeratig states set ; geeratig probability ; aturally merged probability ; quatitative logic ; gp2co2 sistecy degree 1 { A 1,, A } A 3,, A 1 ( A 2 ( A A 3 ) ),,v A 1,, A, v A 3., { A 1,, A } A 3.,,,., 20 70,(,, [1 5 ])., (), (Ucertaity) (Degree of Essetialess)., 1 :2006206215 ; :2006212220 : (No. 10331010),.. 1 [1] { A 1,, A } A 3 A 3, U( A 3 ) e( A 1 ) U( A 1 ) + + e( A ) U( A ) (1) U( ) e( )., [1 ]1, [6 ], [7 ][8 ]. 1, 1 ( 5), A 3.,, ( [9,10 ]).,

1334 2007,, ( ) ( [ 11 16]),[17][ 18 ], (,, [1924]).,.,. 2 Kol2 mogorov ( [25 ]), ( ), [1 ],. 4 : K1. 0 P( A) 1. K2. A,P( A) = 1. K3. A B,P( A) P( B). K4. A B,. P( A B) = P( A) + P( B). A, B,, A B A B. F( S) ( [16 ]), F P : F [0,1 ]. K3,. 1 [1] A F, P : F [0,1 ]F, U( A) = 1 - P( A) (2) U( A) A P,. 2 [1] { A 1,, A } Α F, A 3 F, { A 1,, A } A 3, { A 1,, A } A 3, A 1,, A,A 3. { A 1,, A } A 3,,, A 3 { A 1,, A } { A i1,, A ik } ( k < )., [1 ] : 3 [1] { A 1,, A } A 3, F { A 1,, A },E F, A 3 F - E, E. A i F, ( A i ) F A i ( ), e ( A i ) = 1/ ( A i ),e( A i ) A i. A i,e( A i ) = 0. 4 [9] S = { q 1, q 2, }, F( S) S (, ), F( S). {0,1} 0 = 1, 1 = 0, a b = 0 a = 1 b = 0, { 0,1} (, ), (, ) v : F( S) { 0,1} F( S).,Π v v( A) = v( A), v( A B) = v( A) v( B), A, B F( S)., A B = A B, A B = ( A B),,{ 0,1} a b = max{ a, b}, a b = mi{ a, b},π v v( A B) = v( A) v( B), v( A B) = v( A) v( B). F( S) F, v : F( S) { 0,1} F v F.,[9 ], Π v, v S v S, F S F,v F v S F, v ( F). Π q S F, v ( q) = 1 v ( q) = 0,ΠA F, v( A) = 1 v( A) = 0., A = q q,π v,v ( A) = 1, v ( A) = 0., B = q q, v ( B) = 0,v ( B) = 1. 5 F = { A 1,, A }, v ( F), T( v) = ( v( A 1 ),, v ( A ) ) { 0,1} F. 1 (i) T( v) 0-1. (ii) v, T( v) { 0, 1} 0-1., A 1,, A,v T( v) = (1,,1). (iii) A 1,, A, v, T( v) { 0,1} 0-1. : 1 F = { A 1,, A }, F 2. 2 F 2. 1 { q, q r, r s, q r} q ( r s), q, r, s, A 1 = q, A 2 = q r, A 3 = r s, A 4 = q r, A 3 = q ( r s).

7 : 1335 F = { A 1, A 2, A 3, A 4 },F ( 1). 1 q q r r s q r q ( r s) T( v 1 ) 1 1 1 1 1 T( v 2 ) 0 1 1 0 0 T( v 3 ) 1 1 0 1 1 T( v 4 ) 0 1 0 0 0 T( v 5 ) 1 0 1 0? A 3 = q ( r s),, F 4, F 2 4 = 16. (0,0,1,1) F, 0 v( q) = 0, v ( q r) = 0, 4 1. F 1 5, 11.,F, A 3,, F T( v 5 ) = (1, 0,1,0). v( q) = 1 v( q r) = 0 v ( r) = 0. v( r s) = 1. v ( s) 0 1 v( r s) = 1. v( s) T ( v 5 ). v( s) = 1, v ( A 3 ) = v ( q ( r s) ) = 1, v( s) = 0, v ( r) = 0v( A 3 ) = 0. A 3,?., { q, r, s} (1,0,1) (1,0,0) F (1,0,1,0). 3 1,. 6 { A 1,, A } A 3, F = { A 1,, A },,F Auto( F) = { q 1,, q t },Auto( F) 2 t t t 0-1 u 1,, u 2. F T( v) Auto ( F) u i1,, u ik, { u i1,, u ik } T( v), f ( T( v) ) = { u i1,, u ik } (3) 7 { A 1,, A } A 3, F = { A 1,, A }, F m T ( v 1 ),, T( v m ). P T = { T( v 1 ),, T( v m ) } : P( T( v i ) ) = a i, m a i = 1 0 a i 1, i = 1,, m (4) i = 1 (i) F T ( v i ) v i ( A k ) = 1 a i A k T( v i ) P2, A k i2, P i ( A k ). v i ( A k ) = 0, a i A k T( v i ) P2, A k i2, U i ( A k )., v i ( A 3 ) = 1, a i A 3 T( v i ) P2,A 3 i2, P i ( A 3 ). v i ( A 3 ) = 0 v i ( A 3 ) =?, a i A 3 T( v i ) P2,A 3 i2, U i ( A 3 ). (ii) P T ( A k ) = { P i ( A k ) v i ( A k ) = v i ( A 3 ) = 1} (5) U T ( A k ) = { U i ( A k ) v i ( A k ) = 0 v i ( A 3 ) = 0 v i ( A 3 ) =?} (6) P T ( A 3 ) = { a i v i ( A 3 ) = 1} (7) U T ( A 3 ) = { a i v i ( A 3 ) = 0 v i ( A 3 ) =?} (8) P T ( A k ) U T ( A k ) A k P T2 T2, P T ( A 3 ) U T ( A 3 ) A 3 P T2T2. 2 2 F = { q, q r, r s, q r} P. 2 q q r r s q r q ( r s) P T( v 1 ) 1 1 1 1 1 0. 30 T( v 2 ) 0 1 1 0 0 0. 10 T( v 3 ) 1 1 0 1 1 0. 20 T( v 4 ) 0 1 0 0 0 0. 25 T( v 5 ) 1 0 1 0? 0. 15 2 : a 1 = 0130, a 2 = 0110, a 3 = 0120, a 4 = 0125, a 5 = 0115, P T ( A 1 ) = P T ( q) = a 1 + a 3 = 0150, U T ( A 1 ) = a 2 + a 4 = 0135 ; P T ( A 2 ) = P T ( q r) = a 1 + a 3 = 0150, U T ( A 2 ) = a 5 = 0115 ; P T ( A 3 ) = P T ( r s) = a 1 = 0130, U T ( A 3 ) = a 4 = 0125 ; P T ( A 4 ) = P T ( q r) = a 1 + a 3 = 0. 50, U T ( A 4 ) = a 2 + a 4 + a 5 = 0. 50. P T ( A 3 ) = P T ( q ( r s) ) = a 1 + a 3 = 0. 50, U T ( A 3 ) = a 2 + a 4 + a 5 = 0. 50. 3 7 2,, (i) A k (v( A k ) = 1) A k,, P( r s) = P 1 ( r s) + P 2 ( r s) + P 5 ( r s) = a 1 + a 2 + a 5 = 0155

1336 2007,, A k A k U( r s) = U 3 ( r s) + U 4 ( r s) = a 3 + a 4 = 0145. (ii) A 3, A 3,2, F T ( v 5 ) v( A 3 ), P( A 3 ), A 3. 2 P( A 3 ) P T ( A 3 ) = 0150. U( A 3 ) U T ( A 3 ) = 0150 (9) 2 { A 1,, A } A 3, F = { A 1,, A }, F T = { T ( v 1 ),, T( v m ) }, P T, (i) A k, P( A k ) = { P i ( A k ) v i ( A k ) = 1}, U( A k ) = { U i ( A k ) v i ( A k ) = 0}, P( A k) P T ( A k ), U( A k ) U T ( A k ), (ii) A 3, (10) k = 1,, (11) P( A 3 ) P T ( A 3 ), U( A 3 ) U T ( A 3 ) (12) P T ( A 3 ) P T ( A k ), k = 1,,. (13) (i), A k, A k,(10). (11) (5) (6). (ii) ( 12) (7) ( 8)., T( v j ) F. (5),v j ( A k ) = 1 v j ( A 3 ) = 1 a j P T ( A k ), v j ( A k ) = 0 v j ( A 3 ) = 1 a j P T ( A k ),(7) a j P T ( A 3 ), (13). F = { A 1,, A } P, (7) (8) P T ( A 3 ) U T ( A 3 ), (12) P( A 3 ) U ( A 3 ), 6 8. 8 { A 1,, A } A 3, F = { A 1,, A }, F T = { T ( v 1 ),, T( v m ) }. F Auto ( F) = { q 1,, q t },{ w 1,, w 2 t }. P F, gp Auto( F), f ( T( v) ) = { u i1,, u ik } k P( T( v) ) = gp( u ij ), T( v) T. (14) j = 1 gp P, P = G ( gp). 4 T P gp. (14), P T( v) gp. A 3 gp (, ). 3 2 2, 2 3 : 3 gp q r s q q r r s q r q ( r s) P 0. 30 1 1 1 T( v 1 ) 1 1 1 1 1 0. 30 b 1 0 0 0 b 2 0 0 1 b 3 0 1 1 T( v 2 ) 0 1 1 0 0 0. 10 0. 20 1 1 0 T( v 3 ) 1 1 0 1 1 0. 20 0. 25 0 1 0 T( v 4 ) 0 1 0 0 0 0. 25 b 4 1 0 1 b 5 1 0 0 T( v 5) 1 0 1 0? 1 0. 08 0 0. 07 0. 15 3, ( q, r, s) = (1,1,1) T ( v 1 ), P gp, gp(1,1,1) = P(1,1,1,1) = 0. 30. gp(1,1,0) = P(1,1,0,1) = 0. 20, gp(0,1,0) = P(0,1,0,0) = 0. 25. f ( T( v 2 ) ) = { (0,0,0), (0,0,1), (0,1,1) } gp (0,0,0), (0,0,1) (0,1,1), b 1 + b 2 + b 3 0110. gp (1,0, 1) (1,0,0) b 4 b 5 0115. gp P A 3 = q ( r s) P., b 4 b 5,, b 4 = 0. 08, b 5 = 0. 07, A 3 P( A 3 ) = P T ( A 3 ) + 0108 = 0158. A 3. : 1 { A 1,, A } A 3, F = { A 1,, A }, E = { A k1,, A ks } Α F. T( v), (i) v( A ki ) = 0, i = 1,, s. (ii) v ( A j ) = 1, A j F - E (iii) v( A 3 ) = 0 v( A 3 ) =?. e( A ki ) 1 s, i = 1,, s (15) (ii) (iii) 3 A 3 F - E, E, A ki

7 : 1337 ( A ki ) s, e ( A ki ) = 1/ ( A ki ) (15). 1 : 3 { A 1,, A } A 3, F = { A 1,, A }, T = { T ( v 1 ),, T ( v m ) } F, P T, A 3.,T( v i ) F, v i ( A 3 ) = 0 v i ( A 3 ) =?, A 1,, A v i, v i ( A k1 ) = = v i ( A ks ) = 0, v i ( A kj ) = 1, k j {1,, } - { k 1,, k s } 1 (15)., P ( T ( v i ) ) = a i, 7 U i ( A k1 ) = = U i ( A ks ) = a i, U i ( a 3 ) = a i (16) (15) (16) U i ( A 3 ) = 1 s U i ( A k1 ) + + 1 s U i ( A ks ) e ( A k1 ) U i ( A k1 ) + + e( A ks ) U i ( A ks ). (17) T ( v j ) F v j ( A 3 ) = 0 v j ( A 3 ) =?, (17), { A k1,, A ks }, (17) T( v i )., : v i ( A k ) = 1, U i ( A k ) = 0 ( P i ( A k ) = a i ), v i ( A k ) = 0, P i ( A k ) = 0 ( U i ( A k ) = a i ). (17) : U i ( A 3 ) e( A k ) U i ( A k ) (18) k = 1 I = { i 1 i m, v i ( A 3 ) = 0 v i ( A 3 ) =?} (19) (18) (19) U i ( A 3 ) i I k =1 (8) (6) U i ( A 3 ) = U T ( A 3 ), i I (20) (21) e( A k ) i I U i ( A k ) (20) U i ( A k ) = U T ( A k ) (21) i I U T ( A 3 ) e( A k ) U T ( A k ) (22) k = 1 (11) (12) U( A 3 ) e( A k ) U( A k ) (23) k = 1 (23). 3. 4 (23) 3, ( 23) U( A 3 ).. 9 { A 1,, A } A 3, F = { A 1,, A }. E = { A i1,, A ik } Α F. { A i1,, A ik } A 3,, E., A ij E2, e E ( A ij ) ( j = 1,, k). 10 { A 1,, A } A 3, F = { A 1,, A }, T = { T ( v 1 ),, T ( v m ) } F, P T. { A i1,, A ik } A 3, E{ A i1,, A ik }, T E = { T ( u 1 ),, T( u l ) } E. P E T E, : k 0-1 T( u ) = ( x i1,, x ik ) T E,T m 0-1 i j x ij ( j = 1,, k) T( v 1 ),, T( v t ), P E ( T( u ) ) = P( T( v 1 ) ) + + P( T( v t ) ) (24) P E P. 4 { q, r, s} q r. { q, r} q r. { q, r, s} T 2 3 = 8 3 0-1, P. 4 q r s q r P T( v 1 ) 0 0 0 0 0. 12 T( v 2 ) 0 1 0 0 0. 13 T( v 3 ) 1 0 0 0 0. 15 T( v 4 ) 1 1 0 1 0. 10 T( v 5 ) 0 0 1 0 0. 11 T( v 6 ) 0 1 1 0 0. 14 T( v 7 ) 1 0 1 0 0. 20 T( v 8 ) 1 1 1 1 0. 05 E = { q, r} 4, T E = { (0,0), (0, 1), (1,0), (1,1) } T (0,0,0) (0,0, 1) (0,0), P E (0,0) = P(0,0,0) + P(0,0,1) = 0. 12 + 0. 11 = 0. 23,, P E (0,1) = P(0,1,0) + P(0,1,1) = 0. 13 + 0. 14 = 0. 27, P E (1,0) = 0115 + 0120 = 035, P E (1,1) = 0. 10 + 0. 05 = 0. 15, P E P. 5.

1338 2007 5 q r q r P E T( u 1 ) 0 0 0 0. 23 T( u 2 ) 0 1 0 0. 27 T( u 3 ) 1 0 0 0. 35 T( u 4 ) 1 1 1 0. 15 4 () { A 1,, A } A 3, F = { A 1,, A }, T F, P T., { A i1,, A ik } A 3, E = { A i1,, A ik }, T E E, P E P., A ij, A ij P A ij P E ( j = 1,, k). A ij P E T E i j 0 k P E. (24) T i j 0 m 0-1 P. 1 (i) 4. 5, P E P,, U( A k ) A k, A k.,, F = { A 1,, A },E = { A i1,, A ik },,{ A i1,, A ik } A 3, U E ( A 3 ) A 3, 3 4 U E ( A 3 ) e E ( A i1 ) U( A i1 ) + + e E ( A ik ) U( A ik ) (25) U( A ij ) A ij. ( E) (25), E, (25) U E ( A 3 ) ( E) (26) F T = { T ( v 1 ),, T ( v m ) }, P T. P E P (10), gp P (8), P E gp P E., 4 A 3 gp P P E,(26) U( A 3 ) ( E) (27) F E 1,, E 3 : 5 { A 1,, A } A 3, F = { A 1,, A }, E 1,, E F, U( A 3 ) mi{ ( E 1 ),, ( E ) } (28), 5 1. 5, [9,10 ]. [9,10 ][16],: 11 A 3 = A 3 ( q 1,, q t ) t, A 3 ( x 1,, x t ) A 3 Boole A 3 :{0,1} t { 0,1}. ( A 3 ) A 3. ( A 3 ) = 1 2 t A 3-1 (1) (29), A 3 2 t, A 3-1 (1) A 3,, ( A 3 ) A 3., { A 1,, A } A 3, F = { A 1,, A }, T = { T( v 1 ),, T( v m ) } F, P T. Auto( F) = { q 1,, q t }, 6 T Auto( F) }. Auto ( F) } 2 t,,1/ 2 t. 8,P gp, (29) A 3. : 6 { A 1,, A } A 3, F = { A 1,, A }, T = { T ( v 1 ),, T ( v m ) } F, P T. P gp,a 3 : U( A 3 ) = 1 - ( A 3 ) = 1 2 t A 3-1 (0), ( A 3 ) = 1 - U( A 3 ). (30)., (30), A 3 U( A 3 ) A 1,, A,, { A 1,, A } A 3, gp A 1,, A. 3 (23)., 3,.

7 : 1339 7 { A 1,, A } A 3, F = { A 1,, A }, T = { T ( v 1 ),, T ( v m ) } F, T P gp.,,, e( A k ) 1 (1 - U( A k ) ( A 3 ) ), k = 1,, (31) P gp, 6 U( A 3 ) = 1 - ( A 3 ),3 (23) e( A k ) U( A k ) 1 - ( A 3 ) (32) k = 1 e( A 1 ) = = e( A ) U ( A 1 ) = = U ( A ) 0 (32) (31). gp gp2. 12 F = { A 1,, A }, A 3 = A 1 A, { A 1,, A } A 3. T = { T( v 1 ),, T( v m ) } F, P T, gp P, 1 - U( A 3 ) F gp2, gp ( F). gp2 [10 ] 2 : 8 F = { A 1,, A }, gp Auto( F),F gp2 F 2: gp ( F) = ( F) (33) 6 (30) gp ( F) = 1 - U( A 3 ) = ( A 3 ) (34),[10] ( F) = 1 - div ( F) = 1 - (1 - ( A 1 A ) ) = ( A 3 ). (35) (34) (35) (33). 8, 2 gp2 gp, gp2 2.,. 6.,,.,, gp, 2 gp gp2... : [1 ] Adams E W. A Primer of Probability Logic [ M ]. Staford : CSLI Publicatios,1998. [ 2 ] Hailperi T. Setetial Probability Logic [ M ]. Lodo : Associ2 ated Uiversity Presses,1996. [3] Coletti G,Scozzafava R. Probabilistic Logic i A Coheret Set2 tig[ M ]. Lodo : Kluwer Academic Publishers,2002. [ 4 ] Dubois D, Prade H. Possibility theory, Probability theory ad multiple2valued logics [J ]. Aals of Mathematics ad Artificial Itelligece,2001,32 (1-4) :35-66. [5 ] Baioletti M, Capotopti A, et al. Simplificatio rules for the co2 heret probability assessmet problem[j ]. Aals of Mathemat2 ics ad Artificial Itelligece,2002,35 (1-4) :11-28. [6 ] Adams E W, Levie H. O the ucertaities trasmitted from premises to coclusios i deductive ifereces [J ]. 1975,Sy2 these,30 (3) :429-460. [7 ] Nillso N J. Probability logic [J ]. Artificial Itelligece, 1986, 28 (1) :71-87. [8 ] Pearl J. Probabilistic Reasoig i Itelliget Systems [ M ]. Sa Mateo, Califoria :Morga Kaufma Publishers,1988. [9 ]. (I) [J ]., 2006, 23 (2) : 191-215. Wag G J. Quatitative logic ( I) [J ]. J oural of Egieerig Mathematics,2006,23 (2) :1-26. (i Chiese) [10 ]. () [ M ]. :,2006. [ 11 ] Wag G J, Leug Y. Itegrated sematics ad logic metric spaces [J ]. Fuzzy Sets ad Systems,2003,136 (1) :71-91. [12 ],,. [J ].,A,2001,31 (11) :998-1008. Wag G J, Fu L,Sog J S. Theory of truth degrees of proposi2 tios i two2valued logic[j ]. Sciece i Chia (Ser. A),2002, 45 (9) :1106-1116. (i Chiese) [13 ] Wag G J. Compariso of deductio theorems i diverse logic systems [ J ]. New Mathematics ad Natural Computatio, 2005,1 (1) :65-77. [14 ],. ukasiewicz [J ]. ( E ),2005,35 (6) :561-569. Li B J, Wag G J. Theory of truth degrees of formulas i ukasiewicz 2valued propositioal logic ad a limit theorem [J ]. Sciece i Chia (Ser. E), 2005, 48 (6) :727-736. (i

1340 2007 Chiese) [15 ],,. [J ].,2005,33 (1) :1-6. Wag G J, Qig X Y, Zhou X N. Theory of quasi2truth de2 grees of formulas i two2valued predict logic [J ]. J oural of Shaaxi Normal Uiversity,2005,33 (1) :1-6. (i Chiese) [16 ],. [J ].,2006,34 (2) :252-257. Wag G J, Sog J S. Graded method i propositioal logic [J ]. Acta Electroica Siica,2006,34 (2) :252-257. (i Chi2 ese) [17 ] Pavelka J. O fuzzy logic I. II. III[J ]. Z. Math Logic Grudla2 ge Math,1979,25 :45-52;119-134;447-464. [18 ] Yig M S. A logic for approximate reasoig [J ]. J oural of Symbolic Logic,1994,59 (3) :830-837. [19 ]. I [J ]. ( E ),1999,29 (1) :43-53. Wag G J. Fully implicatio Triple I method of fuzzy reaso2 ig[j ]. Sciece i Chia (Ser. E),1999,29 (1) :43-53. (i Chiese) [20 ] Wag G J, Fu L. Uified forms of Triple I method[j ]. Com2 puters & Mathematics with Applicatios,2005,49 :923-932. [21 ],. I [J ]. ( E ),2002,32 (2) :58-66. [22 ] Sog S J, Feg C B,Lee E S. Triple I method of fuzzy rea2 soig[j ]. Computers &Mathematics with Applicatios,2002, 44 (3) :1567-1579. [ 23 ] Pei D W, Wag G J. The extesios L 3 of formal systems L 3 ad their completeess [ J ]. Iformatio Scieces, 2003, 152 (2) :155-166. [24 ],,. I [J ].,2005,15 (4) :404-410. Peg J Y, Hou J,Li H X. Opposite directio Triple I method based o some commoly used implicatio operators [ J ]. Progress i Natural Sciece,2005,15 (4) :404-410. (i Chi2 ese) [ 25 ] Kolmogorov N. The Foudatio of Probability [ M ]. New : York : Chelsea Publishig Compay,1950.,1935 11,.. E2mail :gjwag @su. edu. c,1973 5,.. E2mail :xjhui @stu. su. edu. c