With the aid of the simple additive weighting (SAW) method, the calculation of final grading values in multiple criteria problem is evaluated for the study region.
Furthermore, the Analytic Hierarchy Process (AHP) (Saaty 1980 , 1986 1992), an international acceptable quantitative tool, adopted in this study appears to be a flexible decision making tool for multiple-criterion problems such as the assessment of the potential zones of groundwater resources in rapidly urbanized area of SW-Nigeria.
Furthermore, the Analytic Hierarchy Process (AHP) (Saaty 1980 , 1986 1992), an international acceptable quantitative tool, adopted in this study appears to be a flexible decision-making tool for multiple-criterion problems such as the assessment of the potential zones of groundwater resources in rapidly urbanized area of Comoro watershed.
The ability to incorporate judgments on intangible qualitative criteria alongside tangible quantitative criteria makes AHP an ideal methodology to solve multiple criteria decision problems.
In recent research, the AHP methodology has been applied to solve many complex multiple criteria decision problems [1, 23, 26, 30, 31, 39, 40, 43, 44].
In this work, an attempt has been made to solve the correlated multiple criteria optimization problem of turning process by considering the major performance characteristics hardness and surface roughness.
DEA has been largely employed to consider multiple criteria in the problems of decision making evaluation.
Each of these extensions has been used in the solutions of single criterion and multiple criteria decision making problems.
Our findings have implications for the design and development of decision support tools for Multiple Criteria Decision Making problems.
The traditional detection methods based on single criterion or multiple criteria encounter uncertainty problems and produce many miss-detections and false alarms, especially when the image is severely corrupted.
Although DEA was originally developed for measuring efficiency of DMUs that consume several inputs to produce several outputs, DEA plays a broader role, as a tool for solving multiple criteria decision-making problems (Bouyssou 1999) and dealing with subjective variables.
