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Outcome-based Contractors Selection using the Integrated Fuzzy AHP and Fuzzy TOPISIS Method
Fang Wang,Quan Shi,Zhi-wei Hu,Wei Xia 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.4
Based on the concept of outcome-based maintenance, the outcome-based contractor equipment support is proposed as the logistical support strategy in the military industry. The outcome-based contractor equipment support is focus on the combat efficiency rather than on the performance of the equipments. Choosing the right contractor is a very important part in the process of its implementation. In fact, the contractor selection is a multi-criteria decision-making problem, which is largely dependent on the uncertainty and ambiguity of the decision-makers. This paper presents a systematic decision-making process of the outcome-based contractor selection, which employs fuzzy AHP to determine the importance weights of each index and adopts fuzzy TOPSIS to obtain the performance ratings of the alternative contractors. Finally, the validity of this method is verified by a specific case.
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A Knowledge-based Fuzzy Multi-criteria Evaluation Model of Construction Robotic Systems
Wi-Sung Yoo 대한건축학회 2010 Architectural research Vol.12 No.2
In recent years, construction projects have been forced to cope with lack of skilled labor and increasing hazard circumstance of human operations. A construction robotic system has been frequently accomplished as one alterative for overcoming these difficulties in increasing construction quality, enhancing productivity, and improving safety. However, while the complexity of such a system increases, there are few ways to carry out an assessment of the system. This paper introduces a knowledge-based multi-criteria decision-making process to assist decision makers in systematically evaluating an automated system for a given project and quantifying its system performance index. The model employs linguistic terms and fuzzy numbers in attempts to deal with the vagueness inherent in experts’ or decision makers’ subjective opinions, considering the contribution resulted from their knowledge on a decision problem. As an illustrative case, the system, called Robotic-based Construction Automation, for constructing steel erection of high-rise buildings was applied into this model. The results show the model’s capacities and imply the application to other extended types of construction robotic systems.
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A Knowledge-based Fuzzy Multi-criteria Evaluation Model of Construction Robotic Systems
유위성 대한건축학회 2010 Architectural research Vol.12 No.2
In recent years, construction projects have been forced to cope with lack of skilled labor and increasing hazard circumstance of human operations. A construction robotic system has been frequently accomplished as one alterative for overcoming these difficulties in increasing construction quality, enhancing productivity, and improving safety. However, while the complexity of such a system increases, there are few ways to carry out an assessment of the system. This paper introduces a knowledge-based multi-criteria decision-making process to assist decision makers in systematically evaluating an automated system for a given project and quantifying its system performance index. The model employs linguistic terms and fuzzy numbers in attempts to deal with the vagueness inherent in experts’ or decision makers’ subjective opinions,considering the contribution resulted from their knowledge on a decision problem. As an illustrative case, the system, called Robotic-based Construction Automation, for constructing steel erection of high-rise buildings was applied into this model. The results show the model’s capacities and imply the application to other extended types of construction robotic systems.
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A Knowledge-based Fuzzy Multi-criteria Evaluation Model of Construction Robotic Systems
Yoo, Wi-Sung Architectural Institute of Korea 2010 Architectural research Vol.12 No.2
In recent years, construction projects have been forced to cope with lack of skilled labor and increasing hazard circumstance of human operations. A construction robotic system has been frequently accomplished as one alterative for overcoming these difficulties in increasing construction quality, enhancing productivity, and improving safety. However, while the complexity of such a system increases, there are few ways to carry out an assessment of the system. This paper introduces a knowledge-based multi-criteria decision-making process to assist decision makers in systematically evaluating an automated system for a given project and quantifying its system performance index. The model employs linguistic terms and fuzzy numbers in attempts to deal with the vagueness inherent in experts' or decision makers' subjective opinions, considering the contribution resulted from their knowledge on a decision problem. As an illustrative case, the system, called Robotic-based Construction Automation, for constructing steel erection of high-rise buildings was applied into this model. The results show the model's capacities and imply the application to other extended types of construction robotic systems.
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Noha Ibrahem Hasan,Haitham Elghareeb,Farahat Farag Farahat,Ahmed AboElfotouh 한국지능시스템학회 2021 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.21 No.1
Non-financial analysis is one of the varied crucial directive tools of credit study that is used for judging whether the client has a genuine desire to pay the assigned amounts of the loan at its maturity dates. Fuzzy logic can help to solve the problem of dealing with factors of non-financial analysis by converting the linguistic variables to numerical variables to calculate their accuracy. This study proposes a fuzzy model that contains a complete database of non-financial factors used by the decision-maker using a fuzzy logic technique, which helps in building the fuzzy rules with great accuracy and helps in predicting the actual situation of the client. In addition, it provides constant following-up of the uses of the granted loan to guarantee that all terms set by the bank are met so that the bank can avoid future defaulting of the client. The proposed model is applied in the credit department of a private Egyptian bank (QNB), with random samples of previous real clients. Some real standards are set to calculate non-financial factors that are related to the client, management, economic situation, and project activity. The results of the proposed model revealed that the correlation factor is 95.3% between real successful payment clients and successful model clients. To guarantee the accuracy of the knowledge base quality and validation, the knowledge model was presented to the credit manager of the bank under study (expert), who provided a full evaluation of the results of the proposed model compared to the actual situation of clients.
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Noorul Shaiful Fitri ABDUL RAHMAN,Theo Notteboom,Muhamad Nasir RAHMATDIN,Mohammad Khairuddin OTHMAN 한국해운물류학회 2019 The Asian journal of shipping and Logistics Vol.35 No.4
Intra-regional container service operators are challenged to design regular and reliable liner services connecting regional ports at the lowest cost and shortest transit time while considering customer demand. This paper focuses on the selection of ports of call in regular intra-regional container services, an under-researched part of the container shipping market. A combination of decisionmaking techniques (i.e. Analytical Hierarchy Process, fuzzy link-based and Evidential Reasoning) are presented to assist intra-regional container service operators in selecting ports of call. The proposed methodology is empirically applied to container services between Malaysian and other nearby Asian ports. While Port Klang is the main gateway to Malaysia, the results show that other Malaysian ports should play a more prominent role in accommodating intra-Asian container services. This research can assist maritime stakeholders in evaluating intra-regional port-to-port liner service configurations. Furthermore, the novel mix of decision-making techniques complements and enriches existing academic literature on port choice and liner service configuration.
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이세희(Sehee Lee),양정삼(Jeongsam Yang) (사)한국CDE학회 2011 한국 CAD/CAM 학회 학술발표회 논문집 Vol.2011 No.1
Long time ago the purpose of dental implants were not for recovery such as natural teeth, but now in the area has been progressing rapidly of the tooth damage, anodontia and masticatory movement for recovery. Dental implants function and esthetics was also an important factor. Dental implant is composed of Fixture and Abutment and Crown, in past studies were intended to focus attention on osseointegration with Fixture to success rate of surgery, while the current aesthetic other natural teeth and good match that has been placing emphasis on Abutment. Accordingly, Abutment has various designs of type and size of model name. The dentist should choose the most appropriate Abutment considering the radiographic images of the patient. In this study was implemented that the dentist can choose expert system for Best Selection of Dental Implant Abutments more systematically. The system was that based on anatomical information and included rules for selection abutment. And also considered both the patient"s physical and anatomical at the same time. Implementation that the E"s Abutment product information, classify the type of fuzzy rule base and practices based on statistics case base were stored in the expert system program. Deduced from the analysis of the results window, as a result of the CAD system to model is visualized through CAD Modeling Viewer.
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