[
    {
        "id": "osp-13261",
        "type": "article-journal",
        "title": "Multi Objective Optimization of Flux Cored Arc Weld Parameters Using Hybrid Grey - Fuzzy Technique",
        "author": [
            {
                "family": "Satheesh",
                "given": "M."
            },
            {
                "family": "Dhas",
                "given": "JER"
            }
        ],
        "URL": "https://omanscience.com/ar/articles/multi-objective-optimization-of-flux-cored-arc-weld-parameters-using-hybrid-grey-fuzzy-technique",
        "language": "en",
        "issued": {
            "date-parts": [
                [
                    2014
                ]
            ]
        },
        "container-title": "The Journal of Engineering Research",
        "volume": "10",
        "issue": "2",
        "page": "23",
        "DOI": "10.24200/tjer.vol11iss1pp23-33",
        "publisher": "Sultan Qaboos University",
        "ISSN": "1726-6009",
        "abstract": "In the present work, an attempt has been made to use the grey-based fuzzy logic method to solve correlated multiple response optimization problems in the field of flux cored arc welding. This approach converts the complex multiple objectives into a single grey-fuzzy reasoning grade. Based on the grey-fuzzy reasoning grade, optimum parameters are identified. The significant contributions of parameters are estimated using analysis of variance (ANOVA). This evaluation procedure can be used in intelligent decision making for a welding operator. The proposed and developed method has good accuracy and competency. The proposed technique provides manufacturers who develop intelligent manufacturing systems a method to facilitate the achievement of the highest level of automation."
    }
]