The increasing intensity of global competition has led organizations to utilize various types of performance measurement tools for improving the quality of their products and services. Data envelopment analysis (DEA) is a methodology for evaluating and measuring the relative efficiencies of a...

Data envelopment analysis (DEA) is a common non-parametric frontier analysis method. The multiplier framework of DEA allows flexibil- ity in the selection of endogenous input and output weights of decision making units (DMUs) as to cautiously measure their efficiency. The calculation of DEA...

In the conventional data envelopment analysis (DEA), all the data assumes the form of crisp numerical values. However, the observed values of the input and output data in real-world problems are sometimes imprecise or vague. Some researchers have proposed various fuzzy methods for dealing with...

This paper presents a group decision support system (CDSS) which integrates the analytic hierarchy process (AHP) into a Delphi framework. The AHP-Delphi GDSS is applicable to a wide range of complex, multi-criteria decisions which require judgements about qualitative characteristics from a group...

The Analytic Hierarchy Process (AHP) is discussed and illustrated. A controlled experiment is conducted to ascertain if the quality of judgments rendered using the AHP is task dependent or is affected by psychological or demographic variables. No evidence is found to suggest that sex,...

The problem of aggregating individual rankings to create an overall consensus ranking representative of the group is of longstanding interest in group decision making. The problem arises in situations where a group of k Decision Makers (DMs) are asked to rank order n alternatives. The question...

Joint Air Operations (JAO) are traditionally orchestrated using centralized planning and scheduling that assigns air assets to mission packages for the purpose of achieving campaign objectives. However, the current command and control model used by the Air Force lacks 'agility', since it neither...

Crisp input and output data are fundamentally indispensable in traditional data envelopment analysis (DEA). However, the input and output data in real-world problems are often imprecise or ambiguous. Some researchers have proposed interval DEA (IDEA) and fuzzy DEA (FDEA) to deal with imprecise...

Traffic distribution forecasting is an essential step in network planning for packet-switching networks. It is frequently necessary to forecast and develop an optimal network configuration to meet the requirements of new traffic demands or changes in the existing demands. Several methods have...