Selection of Construction Materials on Fuzzy Inference Rules

2020 ◽  
Author(s):  
Holida Primova ◽  
Qodir Gaybulov ◽  
Feruza Iskandarova
Keyword(s):  
Fuzzy Inference ◽  
Construction Materials ◽  
Inference Rules ◽  
Selection Of

IMPLEMENTASI PENENTUAN ARSITEKTUR MASJID MODERN DI ACEH MENGGUNAKAN PEMODELAN SISTEM CERDAS

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Soraya Masthura Hasan ◽  
T Iqbal Faridiansyah
Keyword(s):  
Fuzzy Inference System ◽  
Architectural Design ◽  
Fuzzy Inference ◽  
Intelligent System ◽  
Selection Process ◽  
System Modeling ◽  
Inference System ◽  
Normal Limits ◽  
Roof Structure ◽  
Selection Of

Mosque architectural design is based on Islamic culture as an approach to objects and products from the Islamic community by looking at their suitability and values and basic principles of Islam that explore more creative and innovative ideas. The purpose of this system is to help the team and the community in seeing the best mosque in the top order so that the system can be used as a reference for the team and the community. The variables used in the selection of modern mosques include facilities and infrastructure, building structure, roof structure, mosque area, level of security and facilities. The system model used is a fuzzy promethee model that is used for the modern mosque selection process. Fuzzy inference assessment is used to determine the value of each variable so that the value remains at normal limits. Fuzzy values will then be included in promethee assessment aspects. The highest promethee ranking results will be made a priority for the best mosque ranking. This fuzzy inference system and promethee system can help the management team and the community in determining the selection of modern mosques in aceh in accordance with modern mosque architecture. Intelligent System Modeling System In Determining Modern Mosque Architecture in the City of Aceh, this building will be web based so that all elements of society can see the best mosque in Aceh by being assessed by all elements of modern mosque architecture.Keywords: Fuzzy inference system, Promethe, Option of  Masjid

Evaluation of a permissible roadbed thawing depth in permafrost

2021 ◽  
Vol 5 ◽  
pp. 18-22
Author(s):  
Alexandr Galkin
Keyword(s):  
Thermal Resistance ◽  
Biot Number ◽  
Seasonal Changes ◽  
Construction Materials ◽  
Thermal Conditions ◽  
Road Base ◽  
Thawing Depth ◽  
Roadway Construction ◽  
Selection Of ◽  
Purpose Of Evaluation

Roadbed thermal conditions in permafrost are subject to seasonal changes affecting roadway resilience. A roadbed thawing depth is important for road base processing, especially in permafrost. This research had the purpose of evaluation of a permissible roadbed thawing depth based on the Biot number reflecting general thermal resistance of roadbed layers. These results will contribute to understanding road bed thermal resistance and selection of roadway construction materials.

scholarly journals SELECTION OF WIRELESS TECHNOLOGY FOR TRACKING CONSTRUCTION MATERIALS USING A FUZZY DECISION MODEL / BELAIDŽIO RYŠIO TECHNOLOGIJŲ ATRANKA STATYBINĖMS MEDŽIAGOMS STEBĖTI, TAIKANT NEAPIBRĖŽTŲJŲ AIBIŲ SPRENDIMO MODELĮ

2012 ◽  
Vol 18 (1) ◽  
pp. 43-59 ◽  
Author(s):  
Shaohua Jiang ◽  
Won-Suk Jang ◽  
Mirosław J. Skibniewski
Keyword(s):  
Decision Making ◽  
Construction Projects ◽  
Large Scale ◽  
Construction Materials ◽  
Point Of View ◽  
Wireless Technologies ◽  
Scope Of Application ◽  
Fuzzy Decision Model ◽  
Specific Technology ◽  
Selection Of

As the size and scale of construction projects increase, inefficiencies related to the manual operations about field data in current tracking systems are becoming an important issue. While emerging wireless technologies are providing a feasible vision of ubiquitous computing and sensor networks applicable to the large-scale construction industry, it has become even harder to select a suitable technology for tracking construction materials because of the differing functionalities, capabilities, and scope of application of the specific technology. This research proposes a multi-criteria decision-making model that leverages the decision process in choosing various wireless technologies available on the market. To justify the selection of a specific technology, a fuzzy method was adopted to provide an appropriate way to decide among five alternatives (e.g., RFID, GPS, Wi-Fi, Zigbee, and UWB). Fuzzy ranking was obtained from the aggregated fuzzy appropriate index (FAI) based on a person's point of view (optimist, pessimist, or neutral). The results showed that Wi-Fi might be a suitable solution for optimists and neutral persons, but UWB might be the better alternative for pessimists. The results of this research may assist construction engineers in applying reasonable decision-making procedures in a fuzzy environment such as construction sites, and rank the relative importance of the various criteria and alternatives specified in this research. Santrauka Augant statybos projektų mastui, rankinis dabartinių stebejimo sistemų duomenų apdorojimo neefektyvumas tampa svarbia problema. Nors naujos belaidžio ryšio technologijos gali sudaryti galimybę įvesti visur prieinamus kompiuterinius ir jutiklių tinklus, naudojamus plataus masto statybos pramonėje, tampa vis sudėtingiau pasirinkti tinkamas technologijas statybinėms medžiagoms stebėti, nes kiekviena technologija atlieka skirtingas funkcijas, skiriasi jų galimybės ir taikymo apimtis. Šiame tyrime siūlomas daugiakriterinis sprendimų priėmimo modelis, kuris, sprendimų priėmimo procesą pasirenkant rinkoje, siūlomas belaidžio ryšio technologijas išskaido į atskirus lygius. Siekiant pagrįsti tam tikros technologijos pasirinkimą, buvo pritaikytas neapibrežtųjų aibių metodas, pasirenkant geriausią technologiją iš penkių alternatyvų (t. y. RFID, GPS, Wi-Fi, Zigbee ir UWB technologijų). Neapibrežtumo rangas buvo gautas taikant agreguotą neapibrežtumo tinkamumo indeksą (FAI), atsižvelgiant į asmens požiūrį (optimistinis, pesimistinis ar neutralus). Gauti rezultatai parodė, kad Wi-Fi technologija yra tinkama optimistams ir neutraliems asmenims, o UWB technologija būtų geresnė alternatyva pesimistams. Šio tyrimo rezultatai gali padėti statybos inžinieriams priimti pagrįstus sprendimus neapibrėžtoje aplinkoje, tokioje kaip statybos aikštelės, ir suranguoti pagal svarbą įvairius kriterijus bei aptartas šiame tyrime alternatyvas.

A Self-Tuning Method of Fuzzy Inference Rules by Descent Method

Fuzzy Logic ◽  
1993 ◽  
pp. 465-475 ◽  
Author(s):  
Hiroyoshi Nomura ◽  
Isao Hayashi ◽  
Noboru Wakami
Keyword(s):  
Fuzzy Inference ◽  
Descent Method ◽  
Inference Rules ◽  
Tuning Method ◽  
Self Tuning

scholarly journals Fuzzy based QoS prediction using bayesian network in cloud computing environment

2017 ◽  
Vol 7 (1.5) ◽  
pp. 170 ◽  
Author(s):  
Saravanan Chandrasekaran ◽  
Vijay Bhanu Srinivasan ◽  
Latha Parthiban
Keyword(s):  
Bayesian Network ◽  
User Satisfaction ◽  
Fuzzy Inference ◽  
User Preference ◽  
Inference Rules ◽  
Cloud Infrastructure ◽  
Qos Prediction ◽  
Prediction Probability ◽  
Service Capability ◽  
Novel Method

The Quality of Service (QoS) is enforced in discovering an optimal web service (WS).The QoS is uncertain due to the fluctuating performance of WS in the dynamic cloud environment. We propose a Fuzzy based Bayesian Network (FBN) system for Efficient QoS prediction. The novel method comprises three processes namely Semantic QoS Annotation, QoS Prediction, and Adaptive QoS using cloud infrastructure. The FBN employs the compliance factor to measure the performance of QoS attributes and fuzzy inference rules to infer the service capability. The inference rules are defined according to the user preference which assists to achieve the user satisfaction. The FBN returns the optimal WSs from a set of functionally equivalent WS. The unpredictable and extreme access of the selected WS is handled using cloud infrastructure. The results show that the FBN approach achieves nearly 95% of QoS prediction accuracy when providing an adequate number of past QoS data, and improves the prediction probability by 2.6% more than that of the existing approach.  

scholarly journals Experimental Strength of Earth-Based Construction Materials in Different Regions of China

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Kun Zhang ◽  
Bairu Lu ◽  
Yihong Wang ◽  
Zhijun Lei ◽  
Zhanshen Yang
Keyword(s):  
Mechanical Properties ◽  
Compressive Strength ◽  
Construction Materials ◽  
Earth Construction ◽  
Strength Tests ◽  
The World ◽  
Red Earth ◽  
Material Load ◽  
Earthen Buildings ◽  
Selection Of

According to the latest UN statistics, more than 2 billion people in the world still live in various forms of earthen buildings, including some in China. The variety of earth-based constructional materials is significant among different regions, with each region influencing the selection of local earth construction materials. In this study, earth materials from four regions of China were collected and sorted, with 10 samples from each source, and cube compressive strength tests were performed to analyze the composition and mechanical properties of the four materials, including northeast black earth, southeast red earth, northwest loess, and Xinjiang yellow sand earth. The results showed that significant differences existed in the composition of earth-based constructional materials from different regions, which have influence on the materials’ compressive strength. The order from large to small of compressive strengths was loess, black earth, yellow sandy earth, and red earth. Material load-displacement curves were influenced significantly by the plasticity index, but the overall failure processes of the various samples were basically the same.

A high performance edge detector based on fuzzy inference rules

2007 ◽  
Vol 177 (21) ◽  
pp. 4768-4784 ◽  
Author(s):  
Liming Hu ◽  
H.D. Cheng ◽  
Ming Zhang
Keyword(s):  
High Performance ◽  
Fuzzy Inference ◽  
Inference Rules ◽  
Edge Detector
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