scholarly journals CLIPS based decision support system for water distribution networks

2011 ◽  
Vol 4 (1) ◽  
pp. 37-50 ◽  
Author(s):  
K. Sandeep ◽  
K. Rakesh
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Water Distribution ◽  
Query Language ◽  
Water Distribution Network ◽  
Distribution Networks ◽  
Database Management System ◽  
Geographical Information ◽  
Knowledge Generation

Abstract. The difficulty in knowledge representation of a water distribution network (WDN) problem has contributed to the limited use of artificial intelligence (AI) based expert systems (ES) in the management of these networks. This paper presents a design of a Decision Support System (DSS) that facilitates "on-demand'' knowledge generation by utilizing results of simulation runs of a suitably calibrated and validated hydraulic model of an existing aged WDN corresponding to emergent or even hypothetical but likely scenarios. The DSS augments the capability of a conventional expert system by integrating together the hydraulic modelling features with heuristics based knowledge of experts under a common, rules based, expert shell named CLIPS (C Language Integrated Production System). In contrast to previous ES, the knowledge base of the DSS has been designed to be dynamic by superimposing CLIPS on Structured Query Language (SQL). The proposed ES has an inbuilt calibration module that enables calibration of an existing (aged) WDN for the unknown, and unobservable, Hazen-Williams C-values. In addition, the daily run and simulation modules of the proposed ES further enable the CLIPS inference engine to evaluate the network performance for any emergent or suggested test scenarios. An additional feature of the proposed design is that the DSS integrates computational platforms such as MATLAB, open source Geographical Information System (GIS), and a relational database management system (RDBMS) working under the umbrella of the Microsoft Visual Studio based common user interface. The paper also discusses implementation of the proposed framework on a case study and clearly demonstrates the utility of the application as an able aide for effective management of the study network.

scholarly journals Sistem Pendukung Keputusan Penentuan Tingkat Kecanduan Masyarakat Terhadap Rokok dengan Metode Fuzzy Mamdani

2021 ◽  
Vol 4 (1) ◽  
pp. 102-107
Author(s):  
Daniel Andre Marpaung ◽  
Murni Marbun
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Programming Language ◽  
Support System ◽  
Management System ◽  
Database Management ◽  
Sleep Disturbances ◽  
Query Language ◽  
Database Management System ◽  
Structured Query Language

A person's addiction to smoking can be seen from the characteristics of the cigarette addict, including: difficulty controlling the desire to smoke, high appetite, frequent coughing, sleep disturbances, and difficulty concentrating. A person's addiction to cigarettes can have a bad impact on the health of that person. The research used the Fuzzy Mamdani method. The system was built using the Hypertext Preprocessor (PHP) programming language. The database management system uses My Structured Query Language (MYSQL). The criteria for the level of community addiction to cigarettes are cost, smoking frequency, and the environment. This study aims to design a Decision Support System for determining the level of community addiction to smoking and applying the Fuzzy Mamdani method for determining the level of community addiction to cigarettes. So it can be concluded that the person's level of addiction is at number 13 or categorized as CANDU. 

Decision Support System of Ecological Security in Mining Area

2011 ◽  
Vol 361-363 ◽  
pp. 1810-1813
Author(s):  
Sai Ming Yang ◽  
Wen Guang Lu
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Management System ◽  
Mining Area ◽  
Database Management System ◽  
Geographical Information ◽  
Ecological Security ◽  
The Sustainable Development ◽  
Gps Survey

Ecological security is the basis of the sustainable development. Based on the concept of ecological security, The framework and subsystems’ functions of decision support system for mining area’s ecological security are put forward. The support system, which gets data by methods of remote sensing(RS),geographical information system(GIS),global positioning system(GPS), survey data, statistics data and experiment data, being mainly composed of database management system, knowledge management system and models management system, can make regulating and controlling decision for mining area’s ecological security.

scholarly journals CLIPS based decision support system for Water Distribution Networks

2011 ◽  
Vol 4 (1) ◽  
pp. 1-38 ◽  
Author(s):  
S. Kulshrestha ◽  
R. Khosa
Keyword(s):  
Artificial Intelligence ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Water Distribution ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Water Utility ◽  
Ongoing Research ◽  
Utility Managers

Abstract. The Water Distribution Networks (WDN) are managed by experts, who, over the years of their association and responsibility, acquire an empirical knowledge of the system and, characteristically, this knowledge remains largely confined to their respective personal domains. In the event of any new information and/or emergence of a new problem, these experts apply simple heuristics to design corrective measures and cognitively seek to predict network performance. The human interference leads to inefficient utilization of resources and unfair distribution. Researchers over the past, have tried to address to the problem and they have applied Artificial Intelligence (AI) tool to automate the decision process and encode the heuristic rules. The application of AI tool in the field of WDN management is meager. This paper describes a component of an ongoing research initiative to investigate the potential application of artificial intelligence package CLIPS (short for C Language Integrated Production System, developed at NASA/Johnson Space Center) in the development of an expert decision support system for management of a water distribution network. The system aims to meet several concerns of modern water utility managers as it attempts to formalize operational and management experiences, and provides a frame work for assisting water utility managers even in the absence of expert personnel.

A decision support system for rehabilitation of sewer pipes

2001 ◽  
Vol 28 (3) ◽  
pp. 394-401 ◽  
Author(s):  
Tariq Shehab-Eldeen ◽  
Osama Moselhi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Database Management ◽  
New Technologies ◽  
Database Management System ◽  
Sewer Pipes ◽  
Sewer Rehabilitation ◽  
Multi Attribute Utility Theory ◽  
Need For Rehabilitation

The condition of sewer pipes in North America has severely deteriorated, over the last few decades, creating a need for rehabilitation. Sewer rehabilitation methods are numerous and are constantly being developed, benefiting from emerging technologies. The implementation of these methods is driven by the need to improve quality and to reduce cost and project duration. One of the rapidly expanding fields in the sewer rehabilitation industry is trenchless technology. Due to the large number of methods associated with emerging new technologies in this field, selecting the most suitable method can be a challenging task. Selection in this environment, without a computerized tool, may also suffer from the limited knowledge and (or) experience of the decision-maker and could result in overlooking some of the suitable methods that could do the job at less cost. This paper describes a recently developed system for rehabilitation of concrete and clay sewer pipes and focuses primarily on two of its components: (i) the database management system (DBMS) and (ii) the decision support system (DSS). The system can assist municipal engineers and contractors in selecting the most suitable trenchless rehabilitation technique that specifies job conditions and user requirements. An example application is presented to demonstrate the use and capabilities of the developed system.Key words: pipe defects, rehabilitation, sewer pipes, database management systems, decision support systems, multi-attribute utility theory.

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