Age Sequence Recursive Models for Long Time Evaluation Problems

作者：Wang, Jian; Shen, LingLing; Jin, LeSheng^*; Qian, Gang

来源：International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, 2018, 26(2): 299-325.

DOI：10.1142/S0218488518500162

• OWA operators
• orness/andness
• evaluation
• aggregation
• recursive

The evaluation models for long time historical data is important in many applications. In this study, based on Age measure defined by Yager, we propose the definitions of Age Sequence and Age Series. Then, we provide a Generalized Recursive Smoothing method. Some classical smoothing models in evaluation problems can be seen as special cases of Generalized Recursive Smoothing method. In order to obtain more reasonable and effective aggregation results of the historical data, we propose some different Age Sequences, e.g., the Generalized Harmonic Age Sequence and p Age Sequence, which theoretically can provide infinite more recursive smoothing methods satisfying different preferences of decision makers.

• 出版日期2018-4
• 单位南京师范大学