A decision support system for coating selection based on fuzzy logic and multi-criteria decision making

Athanasopoulos, George; Riba, Carles; Athanasopoulou, Christina

doi:10.1016/j.eswa.2009.01.016

Cited by 68 publications

(23 citation statements)

References 12 publications

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“…Suppose the minimum meteorological condition of A-type aircraft is: visibility P 1.5 km, it can be understood that when visibility is more than 1.5 km, the airplane can land or take off safely, but when visibility is less than the value, there is a certain degree of security risks for the aircraft. The specification support language above can be processed into a fuzzy quantitative mathematical language (Li 2003;Athanasopoulos et al 2009;Mouton et al 2009). Fuzzy setÃ means that the minimum weather conditions in the plane security situation, which isÃ ¼ R l=v; where v 2 ½0; 1 is the risk degree (0 means risk-free, and 1 indicates the highest risk); l is the membership function of fuzzy setÃ, denoted by: Figure 2 shows an example of a fuzzy result, it means that even the minimum weather conditions can be perceived risky to flight, but the risk under this weather condition is minor.…”

Section: Risk Assessment For Single Metrological Factormentioning

confidence: 99%

A risk assessment modeling technique based on knowledge extraction and information diffusion with support specification

Zhang

Peng

Zhou

et al. 2013

International Journal of General Systems

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For the difficulties of lacking (even no) samples and cases in actual risk evaluation and support decision-making, it was much trouble for risk assessment modeling by general statistic methods and data mining technique. A kind of idea and technique of knowledge extraction and risk assessment was presented based on support specification, and the basic operation steps and modeling route were expounded. Based on an example of aviation weather supporting, a risk evaluation model of weather influencing aircraft taking off and landing safety was established, and the corresponding evaluation experiments were carried out.

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Section: Risk Assessment For Single Metrological Factormentioning

confidence: 99%

A risk assessment modeling technique based on knowledge extraction and information diffusion with support specification

Zhang

Peng

Zhou

et al. 2013

International Journal of General Systems

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“…Athanasopoulos et al . () used MCDSS for protection and improvement of the mechanical characteristics of the surface of engineering parts; they present an expert system for material selection adapted for coatings. Therefore, they used a mathematical model to combine the MCDM together with the fuzzy sets theory.…”

Section: Multi‐criteria Decision Support Systemmentioning

confidence: 99%

Decision Support System and Multi‐Criteria Decision Aid: A State of the Art and Perspectives

Razmak

Aouni

2014

Multi Criteria Decision Anal

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The aim of this paper is to highlight the role of the Decision Support System within the field of multi-criteria decision aid (MCDA). The MCDA tools have been incorporated into systems to create Multi-Criteria Decision Support Systems (MCDSSs). In our literature review, we noticed that more than 100 papers have been written over a 20-year period in which MCDSS was used as a decision-making tool. The present paper describes some real applications of MCDSS in different fields, harmoniously combined with decision-making methods such as analytic hierarchy process, Utility Additive, and Goal Programming. The present study proposes an integrative MCDSS evaluation through guidance on the tools most useful for a specific user with a particular decision problem.

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“…The fuzzy expert system is then used to establish the feasible region of design variables that comply with the new demands. The feasible region for each design variable is utilized in the sensitivity analysis for the next phase [13,14]. Fig.…”

Section: Expert Systemmentioning

confidence: 99%

Aircraft derivative design optimization considering global sensitivity and uncertainty of analysis models

Park¹,

Chung²,

Lee³

2016

International Journal of Aeronautical and Space Sciences

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Aircraft manufacturing companies have to consider multiple derivatives to satisfy various market requirements. They modify or extend an existing aircraft to meet new market demands while keeping the development time and cost to a minimum. Many researchers have studied the derivative design process, but these research efforts consider baseline and derivative designs together, while using the whole set of design variables. Therefore, an efficient process that can reduce cost and time for aircraft derivative design is needed. In this research, a more efficient design process is proposed which obtains global changes from local changes in aircraft design in order to develop aircraft derivatives efficiently. Sensitivity analysis was introduced to remove unnecessary design variables that have a low impact on the objective function. This prevented wasting computational effort and time on low priority variables for design requirements and objectives. Additionally, uncertainty from the fidelity of analysis tools was considered in design optimization to increase the probability of optimization results. The Reliability Based Design Optimization (RBDO) and Possibility Based Design Optimization (PBDO) methods were proposed to handle the uncertainty in aircraft conceptual design optimization. In this paper, Collaborative Optimization (CO) based framework with RBDO and PBDO was implemented to consider uncertainty. The proposed method was applied for civil jet aircraft derivative design that increases cruise range and the number of passengers. The proposed process provided deterministic design optimization, RBDO, and PBDO results for given requirements.

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A decision support system for coating selection based on fuzzy logic and multi-criteria decision making

Cited by 68 publications

References 12 publications

A risk assessment modeling technique based on knowledge extraction and information diffusion with support specification

A risk assessment modeling technique based on knowledge extraction and information diffusion with support specification

Decision Support System and Multi‐Criteria Decision Aid: A State of the Art and Perspectives

Aircraft derivative design optimization considering global sensitivity and uncertainty of analysis models

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