Interval MULTIMOORA method with target values of attributes based on interval distance and preference degree: biomaterials selection
محورهای موضوعی : Mathematical Optimization
Arian Hafezalkotob
1
(
Department of Mechanical Engineering, Islamic Azad University, South Tehran Branch, Ahang Ave, Mahalati Blv, Tehran, Iran
)
Ashkan Hafezalkotob
2
(
Department of Industrial Engineering, Islamic Azad University, South Tehran Branch, Entezari Aly, Oskoui St, Choobi Brg, 1151863411, Tehran, Iran
)
کلید واژه: MULTIMOORA . Multiple attribute decisionmaking . Target, based attributes .Interval distance . Preference degree . Biomaterials selection,
چکیده مقاله :
A target-based MADM method covers beneficial and non-beneficial attributes besides target values for some attributes. Such techniques are considered as the comprehensive forms of MADM approaches. Target-based MADM methods can also be used in traditional decision-making problems in which beneficial and non-beneficial attributes only exist. In many practical selection problems, some attributes have given target values. The values of decision matrix and target-based attributes can be provided as intervals in some of such problems. Some target-based decision-making methods have recently been developed; however, a research gap exists in the area of MADM techniques with target-based attributes under uncertainty of information. We extend the MULTIMOORA method for solving practical material selection problems in which material properties and their target values are given as interval numbers. We employ various concepts of interval computations to reduce degeneration of uncertain data. In this regard, we use interval arithmetic and introduce innovative formula for interval distance of interval numbers to create interval target-based normalization technique. Furthermore, we use a pairwise preference matrix based on the concept of degree of preference of interval numbers to calculate the maximum, minimum, and ranking of these numbers. Two decision-making problems regarding biomaterials selection of hip and knee prostheses are discussed. Preference degree-based ranking lists for subordinate parts of the extended MULTIMOORA method are generated by calculating the relative degrees of preference for the arranged assessment values of the biomaterials. The resultant rankings for the problem are compared with the outcomes of other target-based models in the literature.
