Decision-making system on basis of web page for coal-mine

2011 ◽  
Author(s):  
Jianfeng Wan ◽  
Junli Liu ◽  
Wenyan Bi ◽  
Tongzhuo Li
Keyword(s):  
Decision Making ◽  
Coal Mine ◽  
Web Page ◽  
Decision Making System

scholarly journals Efficient Mining and Recommendation of Extensive Data Through Collaborative Filtering in E-Commerce: A Survey

2018 ◽  
Vol 7 (2.24) ◽  
pp. 331
Author(s):  
N Naveen ◽  
S Ganesh Kumar
Keyword(s):  
Decision Making ◽  
Recommender System ◽  
Recommendation System ◽  
Topic Model ◽  
User Preference ◽  
The Internet ◽  
Web Page ◽  
Friend Recommendation ◽  
Decision Making System ◽  
Group Recommender

E-Commerce is the most widely used technique nowadays. Buying and selling goods on the Internet has been most admired and frequently utilized. The humongous growth of the content available on the internet has made laborious for users to search and utilize information for classifying the products. Recommendation system regarded as the best way to help the customers in buying the related products. (GRS) group recommender system aims at enhancing the customer’s benefits for buying the products. This paper summarizes the fuzzy tree matching, modeling user preference dynamics, web page recommendation, uncertainty analysis for keywords, recommender system application, temporal topic model for friend recommendation, autocratic decision-making system based on (GRS),modeling user recommender, evaluating recommender system and enhancing (GRS).  

scholarly journals Sensor based Smart Irrigation System with Monitoring and Controlling using Internet of Things

2021 ◽  
Vol 9 (2) ◽  
pp. 17-26
Author(s):  
Nazmul Hassan ◽  
Sheikh Hasib Cheragee ◽  
Sakil Ahammed ◽  
Abu Zafor Md. Touhidul Islam
Keyword(s):  
Decision Making ◽  
Soil Moisture ◽  
Internet Of Things ◽  
Remote Monitoring ◽  
Irrigation System ◽  
Water Usage ◽  
Water Pump ◽  
Web Page ◽  
Decision Making System ◽  
Increased Sensitivity

This paper presents the development of a sensor based smart irrigation system with the capabilities of remote monitoring and controlling of water usage in the agriculture field using Internet of Things (IoT). With the employment of IoT in irrigation system, all agricultural information can be viewed and controlled at the user's fingertips. The system consists of a microcontroller (Node MCU), sensors (soil moisture, DHT11), and irrigation of a water pump with a decision-making system. Sensors are linked to a Wi-Fi module (Node MCU) and are interdependent to provide increased sensitivity to the irrigation system. The data obtained will be uploaded to the cloud (ThingSpeak) and presented in the form of graphs accessible via the website. A web page is used to control the water pump for irrigation purposes. This paper is managed to meet all of its aims to help farmers in terms of time, project cost, labor, water consumption, power consumption, and reliability by implementing the IoT-based smart irrigation system.

Methodical Framework of the Support and Decision-making System for the Collection and Disposal of Organic Raw Materials

2015 ◽  
Vol 1 (1) ◽  
pp. 29-34
Author(s):  
Sergei Shvorov ◽  
◽  
Dmitry Komarchuk ◽  
Peter Ohrimenko ◽  
Dmitry Chyrchenko ◽  
...  
Keyword(s):  
Decision Making ◽  
Raw Materials ◽  
Decision Making System

Dynamic Decision Making System for Public Transport Routes

2016 ◽  
Vol 5 (3) ◽  
pp. 47-70 ◽  
Author(s):  
Maria Spichkova ◽  
Margaret Hamilton
Keyword(s):  
Decision Making ◽  
Information System ◽  
Public Transport ◽  
User Satisfaction ◽  
Spatial Planning ◽  
Formal Model ◽  
Dynamic Decision Making ◽  
Sustainable Cities ◽  
Decision Making System ◽  
Green Software

This paper presents a formal model of a decision making system for public transport routes. The approach focuses on (1) environmental and societal sustainability aspects of green software engineering, (2) spatial planning and optimisation for smarter sustainable cities, and (3) user satisfaction with this information system for the various contexts of passenger, driver and overall system view.

Decision-making system for stock exchange market using artificial emotions

2015 ◽  
Vol 42 (20) ◽  
pp. 7070-7083 ◽  
Author(s):  
Daniel Cabrera-Paniagua ◽  
Claudio Cubillos ◽  
Rosa Vicari ◽  
Enrique Urra
Keyword(s):  
Decision Making ◽  
Stock Exchange ◽  
Exchange Market ◽  
Artificial Emotions ◽  
Decision Making System
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