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2026 Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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Latest News
Atomic museum benefits from L&A donation
Longenecker & Associates has announced a $500,000 pledge from John and Bonnie Longenecker to the National Atomic Testing Museum in Las Vegas, Nev. The contribution will strengthen the museum’s missions to inform the public about America’s national security legacy and current programs and to inspire students, educators, and young professionals pursuing careers in science, technology, engineering, and mathematics.
Kai Yao, Shengyuan Yan, Cong Chi Tran
Nuclear Technology | Volume 208 | Number 4 | April 2022 | Pages 761-774
Technical Note | doi.org/10.1080/00295450.2021.1947123
Articles are hosted by Taylor and Francis Online.
Human error is an important factor leading to nuclear power plant (NPP) accidents. The increasing of the amount of information improves the operators’ human error probability (HEP) in the digital main control room of NPPs. Human reliability analysis (HRA) is considered to be an effective method to reduce human error. The Cognitive Reliability and Error Analysis Method (CREAM) is one of the widely accepted HRA methods. However, there are shortcomings that weaken the applicability of this method. Therefore, this research proposes a fuzzy CREAM method based on a combination of fuzzy logic theory and the CREAM method. The study considers the weight of common performance conditions (CPCs) and constructs a logical relationship between CPCs and control modes. Finally, the effectiveness of the proposed method is determined using a widely accepted method to validate the evaluation results. The validated results showed that the evaluation result has a consistency between the fuzzy CREAM method and the traditional CREAM method. They indicated that the fuzzy CREAM method can obtain reliable HEP.