A LOGIC FOR FUZZY DATA-ANALYSIS

被引：16

作者：

NAKAMURA, A

GAO, JM

机构：

[1] Department of Applied Mathematics, Hiroshima University, Higashi-Hiroshima

来源：

FUZZY SETS AND SYSTEMS | 1991年 / 39卷 / 02期

关键词：

FUZZY SETS; MODAL LOGICS; ROUGH SETS; KNOWLEDGE REPRESENTATION;

D O I：

10.1016/0165-0114(91)90208-8

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The aim of this paper is to present new ideas on how to analyse fuzzy data using logic tools. We propose a modal logic based on fuzzy relations. Special attention is paid to similarity relations on a set of objects. We discuss its relationships to rough sets. Then, we give useful properties for transformation of formulas.

引用

页码：127 / 132

页数：6

共 9 条

[1]

DUBOIS D, 1988, SEP P INT C FUZZ SET, P20

[2]

Farinas del Cerro L., 1986, MATH FUZZY SYSTEMS, P103

[3]

NAKAMURA A, 1987, JOINT CONVENTION R 4

[4]

ORLOWSKA E, 1984, ICS PAS REPORTS, P537

[5]

Orlowska E., 1985, LNCS, V208, P177

[6] ROUGH SETS [J].

PAWLAK, Z .

INTERNATIONAL JOURNAL OF COMPUTER & INFORMATION SCIENCES, 1982, 11 (05) :341-356

[7]

SMETS P, 1988, NONSTANDARD LOGICS

[8] SIMILARITY RELATIONS AND FUZZY ORDERINGS [J].

ZADEH, LA .

INFORMATION SCIENCES, 1971, 3 (02) :177-&

[9] FUZZY SETS [J].

ZADEH, LA .

INFORMATION AND CONTROL, 1965, 8 (03) :338-&

← 1 →