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 this paper, by introducing two virtual decision making units (DMUs) called ideal DMU (IDMU) and anti-ideal DMU (ADMU) with fuzzy inputs-outputs, the efficiency evaluates of DMUs are done by fuzzy data envelopment analysis (FDEA). Therefore, we evaluate DMUs from the perspective of the best...

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,...

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"This book is a definitive focus on analytical strategic decision-making, presenting sophisticated tools and methodologies developed by researchers and vendors to improve decision making for business strategy"--Provided by publisher