INTERVAL-VALUED FUZZY BACKWARD REASONING

被引：24

作者：

ARNOULD, T

TANO, S

机构：

[1] Laboratory for International Fuzzy Engineering Research, Siber Hegner Building, Yokohama, Shi 231, Yamashita-Cho 89-1, Naka-Ku

来源：

IEEE TRANSACTIONS ON FUZZY SYSTEMS | 1995年 / 3卷 / 04期

关键词：

D O I：

10.1109/91.481951

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The importance and efficiency of backward reasoning in nonfuzzy reasoning has been stressed for a long time, especially in the case of expert systems and decision-support systems, The extension of this reasoning method to fuzzy theory, however, has never been considered, In this paper, we propose a definition of fuzzy backward reasoning based on the generalized modus ponens and show the necessity of considering interval-valued fuzzy backward reasoning, Then, we propose solving methods for fuzzy backward reasoning in the case of a rule with one or several conditions as well as in the case of several rules.

引用

页码：425 / 437

页数：13

共 38 条

[1] A RULE-BASED METHOD TO CALCULATE EXACTLY THE WIDEST SOLUTION SETS OF A MAX MIN FUZZY RELATIONAL INEQUALITY [J].

ARNOULD, T ;

TANO, S .

FUZZY SETS AND SYSTEMS, 1994, 64 (01) :39-58

[2]

ARNOULD T, 1993, SECOND IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1 AND 2, P548, DOI 10.1109/FUZZY.1993.327526

[3]

ARNOULD T, 1993, UST P AS FUZZ SYST S

[4]

Arnould T., 1994, INT J UNCERTAIN FUZZ, V2, P247

[5]

Arnould T., 1994, INT J UNCERTAIN FUZZ, V2, P391

[6]

ARNOULD T, 1993, J JAPAN SOC FUZZY TH, V5, P1337

[7] FUZZY RELATION EQUATIONS WITH EQUALITY AND DIFFERENCE COMPOSITION OPERATORS [J].

DINOLA, A ;

PEDRYCZ, W ;

SESSA, S .

FUZZY SETS AND SYSTEMS, 1988, 25 (02) :205-215

[8] FUZZY RELATION EQUATIONS AND INEQUALITIES [J].

DREWNIAK, J .

FUZZY SETS AND SYSTEMS, 1984, 14 (03) :237-247

[9]

Drewniak J., 1988, CYBERNET SYST, V88, P677

[10] FUZZY LOGICS AND THE GENERALIZED MODUS PONENS REVISITED [J].

DUBOIS, D ;

PRADE, H .

CYBERNETICS AND SYSTEMS, 1984, 15 (3-4) :293-331

← 1 2 3 4 →