Computer Assisted Decision Support System for High Level Infrastructure Master Planning: Case of the City of Portland Supply and Transmission Model (STM)

2000 ◽  
Author(s):  
Richard N. Palmer ◽  
Azad Mohammadi ◽  
Margaret A. Hahn ◽  
Dennis Kessler ◽  
Joseph V. Dvorak ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Transmission Model ◽  
Computer Assisted ◽  
Master Planning ◽  
High Level ◽  
The City

scholarly journals Sistem Pendukung Keputusan Pemilihan Perumahan Dengan Menggunakan Metode Multi Attribute Utility Theory

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Muhammad L O Mardin ◽  
Achamad Fuad ◽  
Hairil K Sirajuddin
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Utility Theory ◽  
Selection Process ◽  
Housing Prices ◽  
Multi Attribute Utility Theory ◽  
Selection Decision ◽  
The City ◽  
Selection Of

Abstrak: Banyaknya pilihan rumah seringkali membuat calon pembeli merasa ragu atau kesulitan saat harus menentukan langsung rumah yang mana yang akan dibeli, karena pada pemilihan perumahan yang akan dibeli belum ada sistem yang akan membantu dalam memilih perumahan yang dibeli, sehingga pada proses pemilihan masih menggunakan pikiran saja dan belum ada perhitungan pada saat pemilihan perumahan yang akan di beli. Tujuan penelitian ini menghasilkan sebuah sistem pendukung keputusan pemilihan perumahan. Kriteria yang diajukan dalam proses pemilihan perumahan yaitu: Harga perumahan, Jarak dari pusat kota, Jarak dengan pasar terdekat, [1], tipe perumahan, jarak dengan jalan umum, jarak dengan lahar. Dari hasil pemilihan perumahan menggunakan sistem yang telah dibuat. dengan 10 alternatif, dengan tingkat kepentingan masing-masing kriteria yang digunakan yaitu: harga = 5, tipe rumah = 5, jarak dengan pusat kota = 2, jarak dengan pasar terdekat = 2, jarak dengan jalan umum = 4, jarak perumahan dengan lahar = 5, telah diperoleh alternatif yang akan direkomendasikan yaitu perumahan safira residen 70 dengan dengan nilai tertinggi 0,65.Kata kunci: Sistem Pendukung Keputusan, Pemilihan, Perumahan, Multi Attribute Utility TheoryAbstract: A large number of choices of houses often makes prospective buyers feel doubtful or difficult when they have to determine directly which house to buy because, in the selection of housing to be purchased, no system will assist in choosing the housing to be purchased so that in the selection process, you still use your mind. There is no calculation at the time of the selection of housing to be purchased. The purpose of this research is to produce a housing selection decision support system. The criteria proposed in the housing selection process are housing prices, distance from the city, distance to the nearest market, [1], type of housing, distance to public roads, distance to lava. From the results of the election using the system that has been created. With ten alternatives, with their respective interests. The criteria used are: price =5, type of house = 5, distance to city center = 2, distance to the nearest market = 2, distance to public roads = 4 distance from housing to lava = 5, has obtained an alternative that will be recommended, namely the residential sapphire housing 70 with the highest value of 0.65Keywords: Housing, Selection, Decision Support System, Multi-Attribute Utility Theory.

scholarly journals MACHoice: a Decision Support System for agricultural machinery management

2019 ◽  
Vol 4 (1) ◽  
pp. 305-321 ◽  
Author(s):  
M. Cunha ◽  
S.G. Gonçalves
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Crop Production ◽  
Work Capacity ◽  
Production Costs ◽  
Modern Agriculture ◽  
Level Of Automation ◽  
High Level ◽  
User Friendly

AbstractMechanisation is a key input in modern agriculture, while it accounts for a large part of crop production costs, it can bring considerable farm benefits if well managed. Models for simulated machinery costs, may not replace actual cost measurements but the information obtained through them can replace a farm’s existing records, becoming more valuable to decision makers. MACHoice, a decision support system (DSS) presented in this paper, is a farm machinery cost estimator and break-even analyzer of alternatives for agricultural operations, developed using user-driven expectations and in close collaboration with agronomists and computer engineers. It integrates an innovative algorithm developed for projections of machinery costs under different rates of annual machine use and work capacity processing, which is crucial to decisions on break-even machinery alternatives. A case study based on the comparison of multiple alternatives for grape harvesting operations is presented to demonstrate the typical results that can be expected from MACHoice, and to identify its capabilities and limitations. This DSS offers an integrated and flexible analysis environment with a user-friendly graphical interface as well as a high level of automation of processing chains. The DSS-output consists of charts and tables, evidencing the differences related to costs and carbon emissions between the options inserted by the user for the different intensity of yearly work proceeded. MACHoice is an interactive web-based tool that can be accessed freely for non-commercial use by every known browser.

scholarly journals Initiative For Thyroid Cancer Diagnosis: Decision Support System For Anaplast Thyroid Cancer

2017 ◽  
Vol 1 (2) ◽  
pp. 48
Author(s):  
Jamil Ahmed Chandio ◽  
M. Abdul Rehman Soomrani ◽  
Attaullah Sehito ◽  
Shafaq Siddiqui
Keyword(s):  
Thyroid Cancer ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Confusion Matrix ◽  
Measurement Techniques ◽  
Research Area ◽  
Classification Problems ◽  
Biomedical Image ◽  
High Level

Due to the high level exposure of biomedical image analysis, Medical image mining has become one of the well-established research area(s) of machine learning. AI (Artificial Intelligence) techniques have been vastly used to solve the complex classification problems of thyroid cancer. Since the persistence of copycat chromatin properties and unavailability of nuclei measurement techniques, it is really problem for doctors to determine the initial phases of nuclei enlargement and to assess the early changes of chromatin distribution. For example involvement of multiple transparent overlapping of nuclei may become the cause of confusion to infer the growth pattern of nuclei variations. Un-decidable nuclei eccentric properties may become one of the leading causes for misdiagnosis in Anaplast cancers. In-order to mitigate all above stated problems this paper proposes a novel methodology so called “Decision Support System for Anaplast Thyroid Cancer” and it proposes a medical data preparation algorithm AD (Analpast_Cancers) which helps to select the appropriate features of Anaplast cancers such as (1) enlargement of nuclei, (2) persistence of irregularity in nuclei and existence of hyper chromatin. Proposed methodology comprises over four major layers, first layer deals with the noise reduction, detection of nuclei edges and object clusters. Second layer selects the features of object of interest such as nuclei enlargement, irregularity and hyper chromatin. Third layer constructs the decision model to extract the hidden patterns of disease associated variables and final layer evaluates the performance evaluation by using confusion matrix, precision and recall measures. The overall classification accuracy is measured about 97.2% with 10-k fold cross validation.

scholarly journals A Statistical Model for Shutdowns due to Air Quality Control for a Copper Production Decision Support System

Organizacija ◽  
2015 ◽  
Vol 48 (3) ◽  
pp. 198-202
Author(s):  
Khalid Aboura
Keyword(s):  
Quality Control ◽  
Decision Support ◽  
Air Quality ◽  
Decision Support System ◽  
Statistical Model ◽  
Support System ◽  
Copper Production ◽  
Production Facility ◽  
Air Quality Control ◽  
High Level

Abstract Background: In the mid-1990s, a decision support system for copper production was developed for one of the largest mining companies in Australia. The research was conducted by scientists from the largest Australian research center and involved the use of simulation to analyze options to increase production of a copper production facility. Objectives: We describe a statistical model for shutdowns due to air quality control and some of the data analysis conducted during the simulation project. We point to the fact that the simulation was a sophisticated exercise that consisted of many modules and the statistical model for shutdowns was essential for valid simulation runs. Method: The statistical model made use of a full year of data on daily downtimes and used a combination of techniques to generate replications of the data. Results: The study was conducted with a high level of cooperation between the scientists and the mining company. This contributed to the development of accurate estimates for input into a support system with an EXCEL based interface. Conclusion: The environmental conditions affected greatly the operations of the production facility. A good statistical model was essential for the successful simulation and the high budget expansion decision that ensued.

scholarly journals Menentukan Rujukan Rumah Sakit Terbaik Bagi Pasien BPJS Menggunakan Metode Weighted Sum Model (WSM) Pada Puskesmas

2018 ◽  
Vol 3 ◽  
pp. 103
Author(s):  
Maulida Purba ◽  
Marsono Marsono ◽  
Rina Mahyuni
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Health Center ◽  
Support System ◽  
Weighted Sum ◽  
Cost Of Treatment ◽  
Level 1 ◽  
Level I ◽  
The Cost ◽  
The City

BPJS Health is one of the most important services for the community. For people who are sick and have been registered in BPJS, then the cost of treatment will be borne by the BPJS and the community is what is said as Patient BPJS. However, if a patient BPJS experiencing pain, then the patient first went to the health center or Faskes level 1 before being referred to the Hospital. Therefore, this study aims to build decision support system that has the ability to analyze in determining referral hospital for Patient BPJS at puskesmas or Faskes level 1. The method used in this research is Weighted Sum Model (WSM). The hospital samples used as many as 10 obtained from UPT Puskesmas Padang Bulan, Jln. Jamin Ginting - Medan. Based on calculations performed obtained the highest value of 77.5, ie on RS3. Therefore, this hospital is the foremost hospital as a reference for Patients BPJS. This research is expected to help the Puskesmas or Faskes level I in the city of Medan in providing hospital referrals for patients BPJS.

Decision Support System for the Rational Greening of the City on the Example of Yerevan, Republic of Armenia

2019 ◽  
Vol 10 (2) ◽  
pp. 87-96
Author(s):  
A. S. Akopov ◽  
◽  
A. L. Beklaryan ◽  
A. Saghatelyan ◽  
L. Sahakyan ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
The City
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