A Mamdani Type Fuzzy Logic Controller

Iancu, Ion

doi:10.5772/36321

Cited by 108 publications

(71 citation statements)

References 23 publications

(26 reference statements)

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“…Two factors are considered when selecting the membership function for our system: the retrieval accuracy and the computational burden for evaluating a membership function. We chose the triangular function as the membership function since it has good expressiveness and high computational efficiency in the literature [30,33], as shown in Figure 5. The input and output linguistic terms of this paper are A  = {'not similar', 'similar'} and B  = {'not similar', 'similar', 'very similar'}, respectively.…”

Section: Node Similarity Measurementmentioning

confidence: 99%

An Efficient Retrieval Technique for Trademarks Based on the Fuzzy Inference System

Chen

Weng

2017

Applied Sciences

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Abstract:The existing trademark image retrieval (TIR) approaches mostly use complex image features, the integration of multi features, a tree structure, etc. to enable highly accurate retrieval. However, there is the heavy computational burden for complex image features and maximum similarity subtree isomorphism (MSSI) measurement. This paper aims to provide an efficient solution for TIR in real-time applications, especially in measuring the similarity between multi-object trademark images. In particular, we propose a novel algorithm for tree similarity measurement based on the fuzzy inference system (FIS) to improve retrieval efficiency. Furthermore, the integration of global and local geometric descriptors is used to enable accurate retrieval. The global descriptor is computed by employing the Hu moments, while the local descriptors are generated by using a tree structure based on the five geometric features: convexity, eccentricity, compactness, circle variance, and elliptic variance. During the retrieval process, the similarity coefficient between the query and the database image is obtained from the similarity of the global and local descriptors. The proposed technique is evaluated using 1800 trademark images, including 12 different classes and 416 trademark images. Additionally, the three common indices, the precision/recall rate, the Bull's eye score, and the average normalized modified retrieval rank (ANMRR) are used as the performance indices. The experimental results show that the proposed technique is superior to the other two competitive approaches. It shows 19.43% and 26.78% precision/recall improvement, 19.56% and 30.58% improvement in the average Bull's eye score, and 0.167 and 0.236 improvement in the ANMRR score, respectively, for the 416 query images. It can be concluded from the experimental analysis that the proposed technique not only provides reliable retrieval results but also improves the retrieval efficiency by 151 times in the retrieval process.

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Section: Node Similarity Measurementmentioning

confidence: 99%

An Efficient Retrieval Technique for Trademarks Based on the Fuzzy Inference System

Chen

Weng

2017

Applied Sciences

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“…Defuzzification method used in this paper is Mean of Maximum (henceforth MoM). The defuzzified value is defined as the mean of all values of the universe of discourse, having maximal membership grades, derived by [15], given by Eq. (18) as;…”

Section: Figure 4 Definition Of Membership Function For Input and Outmentioning

confidence: 99%

Software/hardware design of decision-making controllers for object navigation in horizontal plane

et al. 2017

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Original scientific paper The paper aims to research the orientation possibilities of an object in the horizontal plane, from its start course into a required orientating recourse, by using simplified navigation methods. The object's directed motion uses controlling powering impulses, variable distributed in time, during constrained motion time. Three logical decision-making methods are designed for calculating the best maneuvering trajectory with minimal error on the target. Computing the powering impulses, their execution instances, as well as their types, are ensured by the methods and presented in the paper. The developed controlling methods are: a modified multiple shooting method, a new control law, called in this paper, current error orientation, as well as a fuzzy logic method. These methods are designed as decision-making software implemented in an electronic hardware as a predefined programmable controller. This provides pre-programmable orientation of the object at the very beginning of course motion, towards a targeted point settled out of initial direction. The controlling methods use optimal diversification of full elapsed determining time to execute, in sequences, appropriate types and number of powering impulses. Simulation tests of the methods, as well as the designed hardware, are also presented in this paper as a contribution to the development researches of horizontal motion control.Keywords: fuzzy logic controller; guidance laws; programmable motion; shooting method; software/hardware set up Dizajn softvera/hardvera kontrolera za donošenje odluke pri navigaciji objekta u horizontalnoj ravnini Izvorni znanstveni članak Cilj rada je istražiti mogućnosti orijentacije objekta u horizontalnoj ravnini, počevši od njegovog početnog kursa u zahtjevani rakurs, koristeći pojednostavljene metode navigacije. Usmjeravanje gibanja objekta koristi kontrolirane pogonske impulse neravnomjerno distribuirane u ograničenom vremenskom intervalu gibanja. Dizajnirane su tri metode logičkog odlučivanja za izračunavanje najbolje putanje, čije su greške na cilju minimalne. Računanje pogonskih impulsa, njihovih izvršnih instanci kao i tipova, prezentirani su u ovom radu. Razvijene kontrolne mjere su: modificirana višestruka shooting metoda, odnosno novi zakon upravljanja kako je nazvan u ovom radu, trenutna orijentacijska greška, kao i metoda fuzzy logike. Metode su projektirane kao softver za donošenje odluke implementiran u elektronski hardver kao predefinirani programabilni kontroler. To daje preliminarno programiranje usmjeravanja objekta na samom početku kursa gibanja prema ciljnoj točki smještenoj van početnog pravca. Metodama se optimiziraju raspodijele ukupno determiniranog vremena radi realiziranja odgovarajućih tipova i broja pogonskih impulsa u sekvencama. Simulacijski testovi ovih metoda, kao i projektirani hardver, također su prezentirani u radu kao doprinos razvojnom istraživanju upravljanja horizontalnim gibanjem.

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“…Finally, we illustrate our methodology by a specific TFN fuzzy distribution describing people productivity, and other similar fuzzy applications, [23]- [29]. The triplet {a,b,c} is {10,45,90} expressed in years.…”

Section: Practical Example Of π(X)mentioning

confidence: 99%