A Markov chain approximation to multi-stage interactive group decision-making method based on interval fuzzy number

Zhou, Shenghai; Yang, Jingcheng; Ding, Yishan; Xu, Xuanhua

doi:10.1007/s00500-015-1973-1

Cited by 11 publications

(1 citation statement)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Both stochastic models and fuzzy sets are effective means of tackling uncertainty. From this point of view, Zhou et al [57] incorporated IFNs into a Markov chain for a multi-stage interactive group decision-making task. Muhuri et al [29] proposed an IFN-based multiobjective reliability redundancy allocation model.…”

Section: Literature Reviewmentioning

confidence: 99%

An interval fuzzy number-based fuzzy collaborative forecasting approach for DRAM yield forecasting

Chen

Chiu

2020

Complex Intell. Syst.

View full text Add to dashboard Cite

Most existing fuzzy collaborative forecasting (FCF) methods adopt type-1 fuzzy numbers to represent fuzzy forecasts. FCF methods based on interval-valued fuzzy numbers (IFNs) are not widely used. However, the inner and outer sections of an IFN-based fuzzy forecast provide meaning information that serves different managerial purposes, which is a desirable feature for a FCF method. This study proposed an IFN-based FCF approach. Unlike existing IFN-based fuzzy association rules or fuzzy inference systems, the IFN-based FCF approach ensures that all actual values fall within the corresponding fuzzy forecasts. In addition, the IFN-based FCF approach optimizes the forecasting precision and accuracy with the outer and inner sections of the aggregation result, respectively. Based on the experimental results, the proposed FCF-II approach surpassed existing methods in forecasting the yield of a dynamic random access memory product.

show abstract

Section: Literature Reviewmentioning

confidence: 99%