摘要
为有效解决无人机传感器产品概念方案开发中的不确定性,提出了基于多粒度犹豫模糊语言和累积前景理论的决策方法。开发成员使用偏好的语言评估标度表征顾客需求的相对重要度,构建多属性决策模型确定各项顾客需求的相对重要度排序,据此设计传感器的产品概念备选方案;引入改进的累积前景理论,基于预期的投入成本、损失情景和盈利情景,确定各个备选方案的成本感知价值、损失感知价值和收益感知价值;再依据备选方案的综合感知价值确定最优的产品概念方案;通过某无人机研发企业的传感器开发实例说明了所提开发技术的可行性。
For reflecting the uncertain in the product conceptual alternatives development based on the sensor of unmanned aerial vehicles,a technology based on multi-granular hesitant fuzzy linguistic and cumulative prospect theory was proposed.The developers used their preference hesitant fuzzy linguistic sets to express the relative importance of customer requirements,and the relative importance ratings of each customer requirement were determined based onmultiple attribute decision making model,thus the product conceptual alternatives could be developed.Secondly,the idea of cumulative prospect theory was introduced to analyze the cost,loss scene and profit scene of each alternative,and the cost perceived values,the loss perceived values and the profit perceived values could be calculated.Thirdly,the best product conceptual alternativecould be determined according to comprehensive values of each alternative.Finally,the sensor of unmanned aerial vehicles was taken as an example to prove the feasibility of the development technology.
作者
王增强
陈振颂
蒲云
WANG Zengqiang;CHEN Zhensong;PU Yun(School of Management,Xihua University,Chengdu 610039,China;School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 610039,China;School of Civil Engineering,Wuhan University,Wuhan 430072,China)
出处
《计算机集成制造系统》
EI
CSCD
北大核心
2023年第3期938-950,共13页
Computer Integrated Manufacturing Systems
基金
国家自然科学基金资助项目(71401142,71872153,72171182,7118075)。
关键词
无人机
传感器
产品概念方案
多粒度犹豫模糊语言
累积前景理论
unmanned aerial vehicles
sensor
product conceptual alternative
multi-granularity hesitant fuzzy linguistic
cumulative prospect theory
