Comparison of fuzzy reasoning methods

Mizumoto, M.; Zimmermann, Hans-Jürgen

doi:10.1016/s0165-0114(82)80004-3

Cited by 463 publications

(122 citation statements)

References 5 publications

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“…If the common area has empty parts and if the fact set is located inside those empty parts(situation in Fig. 7b), no reasoning result can be derived [48,49]. In our study, there were empty common areas between the antecedent sets, and the relevance between antecedent and fact sets was therefore expressed by the distance between the two, not by their shared common area (see Fig.…”

Section: Distance-type Fuzzy Reasoning Methodsmentioning

confidence: 67%

A New Directional-Intent Recognition Method for Walking Training Using an Omnidirectional Robot

Wang

2017

J Intell Robot Syst

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In order to avoid being bedridden, a preemptive walking rehabilitation is essential for people who lose their walking ability because of illness or accidents. In a previous study, we developed an omnidirectional walking training robot (WTR), the effectiveness of which in rehabilitation was validated by clinical testing. In the primary stage of the walking training, the WTR guides the user to follow the predesigned therapy program to conduct the walking training. This study focuses on the later stages of training in which the user plays an active role of determining the training by himself/herself, and the WTR must follow the user's intent. However, identifying a user's intent is challenging. In the present study, we address this problem by introducing a directionalintent identification method based on a distance-type fuzzy reasoning algorithm. The effectiveness of the directional identification method is experimentally confirmed.

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Section: Distance-type Fuzzy Reasoning Methodsmentioning

confidence: 67%

A New Directional-Intent Recognition Method for Walking Training Using an Omnidirectional Robot

Wang

2017

J Intell Robot Syst

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“…Kiska trong [3,4] da dtra ra tieu chuan sai so trung blnh binh phtro'ng (sau day se goi la sai so Kiska cho gon]. D,!<1tren tieu chufin nay, cac tac gi<i cila [3,4] da tien hanh phan loai 72 phep suy dc1n (xem [5]) thanh 23 lap. Cao va Kandel trong [1] da phat triE1n tir tirong nay, dira ra tieu chuan moi (sau day se goi la sai so Cao-Kandel) va khao sat cac phep tfnh suy dc1n noi tren theo tieu chuan moi, Sai so Cao-Kandel diroc tfnh toan dira tren so cac gia tr] cua bien ngon ngir va di?…”

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Về sai số của mô hình mờ

Hồ¹,

Son²

2016

JCC

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“…To evaluate all information provided to the system several rules and patterns of the decision system may contribute to the assessment of an individual transaction. The type of fuzzy inference used in RiskShield corresponds to the inference described for fuzzyTECH in [15], [30, pp. 255 ff.…”

Section: Software Descriptionmentioning

confidence: 99%

Applications of Fuzzy Technology in Business Intelligence

Meyer¹,

Zimmermann

2011

INT J COMPUT COMMUN

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Fuzzy Set Theory has been developed during the last decades to a demanding mathematical theory. There exist more than 50,000 publications in this area by now. Unluckily the number of reports on applications of fuzzy technology has become very scarce. The reasons for that are manifold: Real applications are normally not single-method-applications but rather complex combinations of different techniques, which are not suited for a publication in a journal. Sometimes considerations of competition my play a role, and sometimes the theoretical core of an application is not suited for publication. In this paper we shall focus on applications of fuzzy technology on real problems in business management. Two versions of fuzzy technology will be used: Fuzzy Knowledge based systems and fuzzy clustering. It is assumed that the reader is familiar with basic fuzzy set theory and the goal of the paper is, to show that the potential of applying fuzzy technology in management is still very large and hardly exploited so far.

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Comparison of fuzzy reasoning methods

Cited by 463 publications

References 5 publications

A New Directional-Intent Recognition Method for Walking Training Using an Omnidirectional Robot

A New Directional-Intent Recognition Method for Walking Training Using an Omnidirectional Robot

Về sai số của mô hình mờ

Applications of Fuzzy Technology in Business Intelligence

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