In this paper, a novel approach combining fuzzy data envelopment analysis (DEA) and the analytical hierarchical process (AHP) is proposed to rank units with multiple fuzzy criteria. The hybrid fuzzy DEA/AHP approach derives the AHP pairwise comparisons by fuzzy DEA and utilizes AHP to fully rank units. It shows that the proposed approach generates a logical ranking of units that has perfect com...

The Evaluation of eCRM implementation in most of organizations will witness an increase in efficiency, staff satisfaction, and eventually customer satisfaction. The objective of this paper is to apply and compare the analytic hierarchy process (AHP), Fuzzy AHP and Fuzzy Topsis methods to evaluate the Parsian banks’ readiness in ECRM implementation. Primary data have been collected by means of q...

Conjoint Analysis (CA) is a very popular class of methods for measuring consumer preferences, both in research and practice. However, since a couple of years, the Analytic Hierarchy Process (AHP) is being discussed in this field as well. Several empirical studies have shown the general potential of AHP, particularly in complex product evaluation tasks consisting of many attributes. But, in spit...

In order to resolve cases related to an alternative selection problems (MADM problems), various methods have been applied. Many methods are used to solve the MADM problems, which sometimes give different results. To resolve MADM problem, we can use AHP and TOPSIS methods. The advantages of AHP method are it can provide solutions through the analysis of quantitative and qualitative decision. In ...

Effects of alkaline hydrogen peroxide (AHP) treatment on cellulose crystallinity and cell wall phenolic monomer and monosaccharide composition were measured using cotton and wheat straw (WS). Two WS treatments were used in this study, Type I WS, for which pH is not regulated during AHP treatment, and Type II WS, for which pH is regulated at 11.5 -+ .2 during AHP treatment. Wheat straw had a low...

As the use of genetically engineered mice has become increasingly prevalent in neurobiological research, evidence has steadily accumulated that substantial differences exist between strains. Although a number of studies have reported effects of genetic background on behavior, few have focused on differences in neurophysiology. The postburst afterhyperpolarization (AHP) is an important determina...

Software selection is not a well-defined or structured decision problem. Lai et al. [5] uses the Analytic Hierarchy Process (AHP) method to solve a Multimedia authoring systems (MAS) selection problem. However, the AHP method is difficult to obtain a convincing consistency index when the number of attributes or alternatives is increased. Hence, this paper applies the fuzzy preference relation (...

Analytic hierarchy process (AHP) is a utility theory based decision-making technique, which works on a premise that the decision-making of complex problems can be handled by structuring them into simple and comprehensible hierarchical structures. However, AHP involves human subjective evaluation, which introduces vagueness that necessitates the use of decision-making under uncertainty. The vagu...

Pyramidal neurons in the piriform cortex from olfactory-discrimination-trained rats show enhanced intrinsic neuronal excitability that lasts for several days after learning. Such enhanced intrinsic excitability is mediated by long-term reduction in the postburst afterhyperpolarization (AHP), which is generated by repetitive spike firing. AHP reduction is attributable to decreased conductance of...

The Analytic Hierarchy Process (AHP) (Saaty, 1990) has been accepted as a leading multiattribute decision model both by practitioners and academics. AHP can solve decision problems in various fields by the prioritization of alternatives. The heart of the most familiar version of the AHP is the Saaty’s eigenvector method (EM) which approximates an positive reciprocal matrix n n× ) ( ij a A = , ,...