scholarly journals Risk Assessment and Mitigation Model for Overseas Steel-Plant Project Investment with Analytic Hierarchy Process—Fuzzy Inference System

2018 ◽  
Vol 10 (12) ◽  
pp. 4780 ◽  
Author(s):  
Min-Sung Kim ◽  
Eul-Bum Lee ◽  
In-Hye Jung ◽  
Douglas Alleman
Keyword(s):  
Risk Assessment ◽  
Analytic Hierarchy Process ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Raw Materials ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Project Risk ◽  
Inference System ◽  
Hierarchy Process

This paper presents an analytic hierarchy process (AHP)-fuzzy inference system (FIS) model to aid decision-makers in the risk assessment and mitigation of overseas steel-plant projects. Through a thorough literature review, the authors identified 57 risks associated with international steel construction, operation, and transference of new technologies. Pairwise comparisons of all 57 risks by 14 subject-matter experts resulted in a relative weighting. Furthermore, to mitigate human subjectivity, vagueness, and uncertainty, a fuzzy analysis based on the findings of two case studies was performed. From these combined analyses, weighted individual risk soring resulted in the following top five most impactful international steel project risks: procurement of raw materials; design errors and omissions; conditions of raw materials; technology spill prevention plan; investment cost and poor plant availability and performance. Risk mitigation measures are also presented, and risk scores are re-assessed through the AHP-FIS analysis model depicting an overall project risk score reduction. The model presented is a useful tool for industry performing steel project risk assessments. It also provides decision-makers with a better understanding of the criticality of risks that are likely to occur on international steel projects.

scholarly journals Estimation of fines amount in syariah criminal offences using adaptive neuro-fuzzy inference system (ANFIS) enhanced with analytic hierarchy process (AHP)

2019 ◽  
Vol 9 (6) ◽  
pp. 5537
Author(s):  
Ahmad Fitri Mazlam ◽  
Wan Nural Jawahir Hj Wan Yussof ◽  
Rabiei Mamat
Keyword(s):  
Analytic Hierarchy Process ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Individual Decision ◽  
Criminal Cases ◽  
Analytic Hierarchy ◽  
Inference System ◽  
Neuro Fuzzy ◽  
The Individual ◽  
Hierarchy Process

<span lang="EN-US">All syariah criminal cases, especially in khalwat offence have their case-fact, and the judges typically look forward to all the facts which were tabulated by the prosecutors. A variety of criteria is considered by the judge to determine the fines amount that should be imposed on an accused who pleads guilty. In Terengganu, there were ten (10) judges, and the judgments were made by the individual decision upon the trial to decide the case. Each judge has a stake, principles and distinctive criteria in determining fines amount on an accused who pleads guilty and convicted. This research paper presents an Adaptive Neuro-fuzzy Inference System (ANFIS) technique combining with Analytic Hierarchy Process (AHP) for estimating fines amount in Syariah (khalwat) criminal. Datasets were collected under the supervision of registrar and syarie judge in the Department of Syariah Judiciary State Of Terengganu, Malaysia. The results showed that ANFIS+AHP could estimate fines efficiently than the traditional method with a very minimal error.</span>

Engineering of Xinjiang Non Electricity Area and the Project Risk Assessment

2013 ◽  
Vol 411-414 ◽  
pp. 2537-2541
Author(s):  
Yuan Sheng Huang ◽  
Chun Yan Jia
Keyword(s):  
Risk Assessment ◽  
Economic Development ◽  
Analytic Hierarchy Process ◽  
Daily Life ◽  
Good Choice ◽  
Analytic Hierarchy ◽  
Project Risk ◽  
New Energy ◽  
The Stability ◽  
Hierarchy Process

By the end of 2010, Xinjiang has 2754 000 families (10753 000 population) who are not allowable to use electricity. This project is related to the economic development of these areas and is of great importance to enhance people,s welfare. It is also an important project in the Twelfth Five-Year plan. This paper supplies us two realization modes for non electricity area through electric grid extension and new energy power. It is appropriate to seek help from the main grid to extend electricity problems and ensure the stability and security of the electricity in these areas, in which population is relatively dense, or places are good prospects for the development or mineral rich. But for a considerable number of scattered or not fixed farmers and herdsmen, the utilization of new energy to realize the power of their daily life is a good choice. On this basis, this paper carried out the risk assessment of the implementation of the project by using fuzzy analytic hierarchy process.

scholarly journals Application of Fuzzy Analytic Hierarchy Process to Building Research Teams

2016 ◽  
Vol 21 (1) ◽  
pp. 7-11 ◽  
Author(s):  
Karol Dąbrowski ◽  
Katarzyna Skrzypek
Keyword(s):  
Analytic Hierarchy Process ◽  
Fuzzy Inference ◽  
Fuzzy Ahp ◽  
Project Teams ◽  
Analytic Hierarchy ◽  
Inference System ◽  
Neuro Fuzzy ◽  
Working Groups ◽  
Research Facilities ◽  
Hierarchy Process

Abstract Building teams has a fundamental impact for execution of research and development projects. The teams appointed for the needs of given projects are based on individuals from both inside and outside of the organization. Knowledge is not only a product available on the market but also an intangible resource affecting their internal and external processes. Thus it is vitally important for businesses and scientific research facilities to effectively manage knowledge within project teams. The article presents a proposal to use Fuzzy AHP (Analytic Hierarchy Process ) and ANFIS (Adaptive Neuro Fuzzy Inference System) methods in working groups building for R&D projects on the basis of employees skills.

scholarly journals Penerapan Fuzzy Inference System Mamdani Untuk Menentukan Jumlah Pembelian Obat (Studi Kasus: Garuda Sentra Medika)

2019 ◽  
Vol 3 (1) ◽  
pp. 38
Author(s):  
Rahmawati Rahmawati ◽  
Eka Pandu Cynthia ◽  
Intan Eria Elfi
Keyword(s):  
Success Rate ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Raw Materials ◽  
Decision Makers ◽  
Inventory Data ◽  
Inference System ◽  
Drug Sales ◽  
Demand Pattern ◽  
The Right

<p class="Abstract">The availability of the right raw materials is closely related to the number of products to be produced. Therefore the prediction of production must be adjusted so that the stock order of raw materials can be calculated correctly. Inventory problems are problems that are always faced by decision makers in the field of inventory. Supplies are needed because basically the demand pattern is irregular. Inventories are carried out to ensure that there is certainty that when needed these products are available. The problem in inventory is the difficulty in determining the amount of inventory that must be provided in meeting the number of requests to consumers. The purpose of this study was to determine the amount of drug purchases at Garuda Sentra Medika with the Mamdani method fuzzy inference system based on inventory data and sales data. This study uses three variables, namely inventory, sales and purchases by having two inputs, namely inventory and sales and one output, namely purchase. The results of the application of the fuzzy inference system Mamdani method can help the company to determine the amount of drug purchases with a success rate of 99.35869%.</p><p><strong>Keywords</strong>: <em>Drug Sales, </em><em>Fuzzy Inference System, </em><em>Inventory,</em><em> Purchasing.</em></p>

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