Title :
Z-AHP: A Z-number extension of fuzzy analytical hierarchy process
Author :
Azadeh, A. ; Saberi, Morteza ; Atashbar, Nasim Zandi ; Chang, En-Jui ; Pazhoheshfar, P.
Author_Institution :
Sch. of Ind. & Syst. Eng., Univ. of Tehran, Tehran, Iran
Abstract :
Analytical Hierarchy Process (AHP) under uncertain environment is still an open issue. The objective of this study is to propose a new AHP method based on Z-number. First, Z-number are taken into consideration. Zadeh [1] proposed a notion, namely Z-number, which is an order pair of fuzzy numbers (A, B). The first component, A, plays the role of a fuzzy restriction and the second component B is a reliability of the first component. It is new concept which has more power to describe the knowledge of human being and will be widely used in the uncertain information process [2, 3]. Second, a new AHP method based on Z-number is proposed to deal with linguistic decision making problems. Finally, by Z-number analytical hierarchy process (Z-number-AHP) a model is developed to search the criteria´s for the evaluation of best universities.
Keywords :
analytic hierarchy process; fuzzy set theory; number theory; AHP method; Z-AHP; Z-number analytical hierarchy process; Z-number extension; Z-number-AHP; fuzzy analytical hierarchy process; fuzzy numbers; fuzzy restriction; information process; linguistic decision making; order pair; reliability; Analytic hierarchy process; Educational institutions; Reliability; Security; Uncertainty; Analytic Hierarchy Process (AHP); Fuzzy Analytic Hierarchy Process (Fuzzy AHP); Fuzzy set; Technical Education; Z-numbers;
Conference_Titel :
Digital Ecosystems and Technologies (DEST), 2013 7th IEEE International Conference on
Conference_Location :
Menlo Park, CA
Print_ISBN :
978-1-4799-0784-7
DOI :
10.1109/DEST.2013.6611344