Linguistic Fuzzy-Logic Data Analysis

2010 ◽  
pp. 155-173
Author(s):  
Badredine Arfi
Keyword(s):  
Fuzzy Logic ◽  
Data Analysis

scholarly journals Pemetaan Tingkat Kerawanan Longsor Berdasarkan Curah Hujan dan Geologi Menggunakan Metode Fuzzy Logic Di Kecamatan Leupung Kabupaten Aceh Besar

2018 ◽  
Vol 3 (2) ◽  
pp. 434-441
Author(s):  
Rasyid Alkhoir Lubis ◽  
Muhammad Rusdi ◽  
Hairul Basri
Keyword(s):  
Fuzzy Logic ◽  
Data Analysis ◽  
Analysis Data ◽  
Fuzzy Logic Method ◽  
Input Variables ◽  
Logic Method

Abstrak. Penelitian ini bertujuan untuk mengetahui tingkat kerawanan longsor di Kecamatan Leupung Kabupaten Aceh Besar. Penelitian ini dilakukan menggunakan SIG dengan Metode Fuzzy Logic. Curah Hujan dan Geologi sebagai variabel input dan tingkat kerawanan longsor sebagai variabel output metode fuzzy logic. Beberapa tahapan yang dilakukan dalam metode ini antara lain : fuzzyfication, inferensi dan defuzzyfication. Secara umum, tahapan penelitian persiapan, pra analisis data, analisis data dan output.. Penelitian ini dilakukan karena Kecamatan Leupung berbukit, berlereng, tersusun dari material sedimen termasuk batuan pegunungan dan memiliki curah hujan yang lebih tinggi dibandingkan dengan kecamatan lainnya di lingkup Kabupaten Aceh Besar.Hasil penelitian memperoleh hasil bahwa Kecamatan Leupung didominasi dengan tingkat kerawanan longsor kategori rendah dan sedang. Tingkat kerawanan longsor rendah seluas 16.486,01 ha (97,97 %) dan tingkat kerawanan longsor sedang seluas 342,37 ha (2,03 %). Kedua faktor yaitu curah hujan dan geologi saling mempengaruhi sehingga membedakan nilai defuzzyfication serta kelas kerawanan longsor. Abstract. This study aims to determine the level of landslide vulnerability in Leupung District, Aceh Besar District. This research was conducted using GIS with Fuzzy Logic Method. Rainfall and Geology as input variables and landslide vulnerability as output variables fuzzy logic method. Some of the steps performed in this method include: fuzzyfication, inference and defuzzyfication. In general, the stages of preparatory research, pre-data analysis, data analysis and output. This research was conducted because the hilly Leupung District, the slopes, composed of sedimentary materials including mountainous rocks and had higher rainfall compared to other sub-districts in Aceh Besar .The result of this research is that Leupung District is dominated by low and medium category avalanche vulnerability. Low landslide vulnerability of 16,486.01 ha (97.97%) and moderate landslide vulnerability of 342.37 ha (2.03%). Both factors are rainfall and geology influence each other so as to distinguish the defuzzyfication value and the class of landslide vulnerability.

scholarly journals Towards Chemical Mapping at Sub-Micron Resolution: Near-Field Spectroscopic Delineation of Interphase Boundaries

2010 ◽  
Vol 662 ◽  
pp. 1-11
Author(s):  
Hubert Pollock
Keyword(s):  
Fuzzy Logic ◽  
Data Analysis ◽  
Multivariate Data Analysis ◽  
Near Field ◽  
Interdisciplinary Studies ◽  
Chemical Mapping ◽  
International Meeting ◽  
Infrared Microspectroscopy ◽  
Evaluation Procedures ◽  
Interphase Boundaries

Several of the authors of this collection of papers presented at the international meeting on the mechanical behaviour of materials have been working continuously in that field for several decades. In contrast, in this instance we have an example of an author who, having some experience in nanoindentation and surface - mechanical research, now pursues interdisciplinary studies of nanoscale properties in a different field. This paper discusses how a near-field version of infrared microspectroscopy, together with multivariate data analysis points a way towards a new method for identifying biomarkers for use in biomedical evaluation procedures. We also outline some details of a non-statistical method of classification, employing fuzzy logic.

scholarly journals Character model identification and interactive AI simulation application

Impact ◽  
2020 ◽  
Vol 2020 (4) ◽  
pp. 70-72
Author(s):  
Pei-Chun Lin
Keyword(s):  
Fuzzy Logic ◽  
Data Analysis ◽  
Speech Recognition ◽  
Visual Perception ◽  
Computer Science ◽  
Computer Systems ◽  
Model Identification ◽  
Analysis Tools ◽  
The World ◽  
Information Engineering

AI is the theory and development of computer systems that can operate and perform functions which would normally require human input, such as visual perception, speech recognition, and translating one language into another. Dr Pei-Chun Lin is a researcher based in the Department of Information Engineering and Computer Science at Feng Chia University in Taiwan. She is collaborating with other academics around the world to develop a robot that incorporates AI and will act in a way that suggests it is a thinking and feeling robot which humans can relate to. The character model identification is especially important for creating an AI robot. The team applied data analysis tools to confirm the model and incorporate fuzzy logic, which holds significant promise for the field of AI application. Lin believes that there is a great deal of potential for AI robots to improve the lives of people around the world.

scholarly journals Prosedur Fuzzy Tahani Menggunakan Fungsi Representatif Kurva Segitiga dan Trapesium

2021 ◽  
Vol 1 (1) ◽  
pp. 40-50
Author(s):  
Wise Ahmad Sofia ◽  
Juhari Juhari
Keyword(s):  
Fuzzy Logic ◽  
Data Analysis ◽  
Fuzzy Sets ◽  
Membership Functions ◽  
Battery Capacity ◽  
Better Than

Fuzzy Tahani is one of the developments of fuzzy logic applications. This study will explain the fuzzy Tahani procedure using representative membership functions of triangular and trapezoidal curves with fuzzification steps, determining fuzzy domains, membership functions and degrees, compiling criteria, determining fire strength values, and determining recommendation results. The fuzzy Tahani method uses the AND operation so as to produce a minimum fire strength value that affects the recommendation results. Then the research variables used are price, dimensions, weight, battery capacity, and screen display variables. For the triangular curve there are 3 fuzzy sets, namely small, medium, and large, while the trapezoidal curve consists of 4 fuzzy sets, namely small, medium, large, and very large. The data used in this study is secondary smartphone data, branded Oppo, Xiaomi, Samsung, Vivo, and Asus. From the results of smartphone data analysis according to the Fuzzy Tahani method used, these variables are processed by entering the rules, amounting to 243 for triangular curves and 1,024 for trapezoidal curves and then processed using AND operation and the conclusion is that triangular curves are better than trapezoidal curves. in recommending the purchase of a smartphone

scholarly journals Modeling of critical systems implementing negative events using dual Petri nets

2018 ◽  
Vol 226 ◽  
pp. 04001 ◽  
Author(s):  
Marina A. Ganzhur ◽  
Aleksei P. Ganzhur ◽  
Olga V. Smirnova
Keyword(s):  
Fuzzy Logic ◽  
Data Analysis ◽  
Expert Systems ◽  
Petri Nets ◽  
Petri Net ◽  
Negative Events ◽  
Linguistic Variables ◽  
Critical Systems ◽  
Fuzzy Petri Net ◽  
Fuzzy Nets

This work is devoted to solving the problem of modeling critical systems based on the use of modified Petri nets. The dual (binary) Petri net one of the modifications, which allows us to view inversing events at the same time, solving the problem with the possibility of deadlocks. Construction of schemes using fuzzy logic makes it possible to calculate the values of linguistic variables obtained knowledge. Petri dual network allows you to organize the exclusion of negative events by introducing additional links. In accordance with the rules, it is possible to construct a dual fuzzy Petri net, which involves the use of maximum and minimum transitions or appropriate logical calculations of conjunctions and disjunctions. Transition from classical Petri nets to dual fuzzy nets, realizes fuzzy knowledge of logical deriving that gives the chance in construction of expert systems with fuzzy logic solving a problem of data analysis.

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