The problem of averaging outcomes under several scenarios to form overall objective functions is of considerable importance in decision support under uncertainty. The fuzzy operator defined as the so-called Weighted OWA (WOWA) aggregation offers a well-suited approach to this problem. The WOWA aggregation, similar to the classical ordered weighted averaging (OWA), uses the preferential weights ...

Fuzzy risk analysis, as a powerful tool to address uncertain information, can provide an appropriate method for risk analysis. However, the previous fuzzy risk analysis methods still have some weaknesses. To overcome the weaknesses of existing fuzzy risk analysis methods, a novel method for ranking generalized fuzzy numbers is proposed for addressing fuzzy risk analysis problems. In the propose...

The existing green construction evaluation lacks dynamic nature. Based on the characteristics of urban deep foundation pit construction, PDCA cycle theory gives index weight based OWA operator, and establishes a model. BIM information technology is used to build platform Wuhan Yangtze River Shipping Center proves scientific nature evaluation.

University chemical laboratory is a high-risk place for teaching and scientific research due to the presence of various physical hazards. In recent years, university accidents occur frequently. This urges need enhance lab safety. A semi-quantitative methodology comprising Matter-Element Extension Theory (MEET) implemented with Combination Ordered Weighted Averaging (C-OWA) operator proposed ass...

Through a comprehensive study of existing fuzzy neural systems, this paper presents a Choquet integral-OWA operator based fuzzy neural system named AggFNS as a new hybrid method of CI, which has advantages in universal fuzzy inference operators and importance factor expression during reasoning process. AggFNS was applied in traffic level of service evaluation problem and the experimental result...

In (Fuzzy Sets and Systems 97 (1998) 33), we presented a fuzzy multipurpose decision making model integrating di4erent preference representations based on additive reciprocal fuzzy preference relations. The main aim of this paper is to complete the decision model studying conditions under which reciprocity property is maintained when aggregating preference relations using an OWA operator guided...

One important issue in the theory of Ordered Weighted Averaging (OWA) operators is the determination of the associated weights. One of the first approaches, suggested by O’Hagan, determines a special class of OWA operators having maximal entropy of the OWA weights for a given level of orness; algorithmically it is based on the solution of a constrained optimization problem. In this paper, using...