𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Weighted fuzzy interpolative reasoning for sparse fuzzy rule-based systems

✍ Scribed by Shyi-Ming Chen; Yu-Chuan Chang

Book ID
108130728
Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
729 KB
Volume
38
Category
Article
ISSN
0957-4174

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A new interpolative reasoning method in
A new interpolative reasoning method in sparse rule-based systems
✍ Wen-Hoar Hsiao; Shyi-Ming Chen; Chia-Hoang Lee 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 374 KB

In , Yan et al. analyzed Koczy and Hirota's linear interpolative reasoning method presented in I-2, 3] and found that the reasoning consequences by their method sometimes become abnormal fuzzy sets. Thus, they pointed out that a new interpolative reasoning method will be needed which can guarantee t

Reasoning conditions on Kóczy's interpol
Reasoning conditions on Kóczy's interpolative reasoning method in sparse fuzzy rule bases. Part II
✍ Yan Shi; Masaharu Mizumoto 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 525 KB

In our pre-work, the two sufficient and necessary conditions have been given on K6czy's interpolative reasoning method in sparse fuzzy rule bases, to guarantee that the reasoning consequence is of triangular-type if the fuzzy rules and an observation are defined by triangular-type membership functio

An improvement to Kóczy and Hirota's int
An improvement to Kóczy and Hirota's interpolative reasoning in sparse fuzzy rule bases
✍ Zhi Qiao Wu; Mizumoto Masaharu; Yan Shi 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 592 KB

In sparse fuzzy rule bases, conventional fuzzy reasoning methods cannot reach a proper conclusion. To tackle this problem, K6czy and Hirota have proposed a method called interpolative reasoning. It has been found that by this method the convexity of the reasoning consequence fuzzy set cannot always

Variable weighted synthesis inference me
Variable weighted synthesis inference method for fuzzy reasoning and fuzzy systems
✍ Yu-Zhuo Zhang; Hong-Xing Li 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 953 KB

new fuzzy inference method, called a VWSI (variable weighted synthesis inference) method, is presented by applying the principle of variable weighted synthesis in factor spaces theory to fuzzy inference. The analysis for response abilities of fuzzy systems constructed by VWSI algorithms indicates th

Fuzzy Dempster–Shafer reasoning for rule
Fuzzy Dempster–Shafer reasoning for rule-based classifiers
✍ Elisabetta Binaghi; Paolo Madella 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 176 KB

## Ìn real classification problems intrinsically vague information often coexist with conditions of ''lack of specificity'' originating from evidence not strong enough to induce knowledge, but only degrees of belief or credibility regarding class assignments. The Ž . problem has been addressed her