Extension of Classical Analytic Hierarchy Process Using q-Rung Orthopair Fuzzy Sets and Its Application to Disaster Logistics Location Center Selection

Author(s):  
Seyed Amin Seyfi Shishavan ◽  
Yaser Donyatalab ◽  
Elmira Farrokhizadeh
Symmetry ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1225 ◽  
Author(s):  
Jairo Ortega ◽  
János Tóth ◽  
Sarbast Moslem ◽  
Tamás Péter ◽  
Szabolcs Duleba

A park and ride (P&R) system is a set of facilities where private vehicle users can transfer to public transport to complete their journey. The main advantage of the system is reducing the congestions problem in the central business district (CBD). Thus, the notion of symmetry is particularly important in multi-criteria decision aid (MCDA) because they are basic characteristics of the binary relationships used in modelling the preferences of decision-makers. The focal point of this study is evaluating the P&R facility system location problem from the experts’ point of view. For this aim, an integrated multicriteria decision-making (MCDM) methodology is proposed to evaluate the location of the facilities of the P&R system. The questionnaire survey was designed and estimated by 10 transport experts in the related field. The famous analytic hierarchy process (AHP) was adopted in a fuzzy environment, where the fuzzy sets have an efficient ability to manage the vague concepts in a specific way; moreover, it can mitigate the evaluator reasoning during decision-making. The hierarchical structure of the problem was established to evaluate a real-life problem in Cuenca city, Ecuador. The outcomes highlighted the “accessibility of public transport” as the most significant issue in the P&R facility location problem. The obtained results provide more flexible facilities than the pure AHP method.


2014 ◽  
Vol 59 ◽  
pp. 48-57 ◽  
Author(s):  
Cengiz Kahraman ◽  
Başar Öztayşi ◽  
İrem Uçal Sarı ◽  
Ebru Turanoğlu

Author(s):  
Shin-ichi Ohnishi ◽  
◽  
Takahiro Yamanoi ◽  
Hideyuki Imai ◽  

The Analytic Hierarchy Process (AHP) proposed by T. L. Saaty has been widely used in decision making. Inner dependence method AHP is used for cases in which criteria are not independent enough. Using the original AHP or inner dependence AHP may cause results to lose reliability because the comparison matrix is not necessarily sufficiently consistent. In such cases, fuzzy representation for weighting criteria using results from sensitivity analysis is useful. We present weights of normal AHP criteria via fuzzy sets, then calculate modified fuzzy weights of inner dependence methods. We also get overall weights of alternatives based on certain assumptions. Results show the fuzziness of inner dependence AHP if the comparison matrix is not sufficiently consistent and individual criterion do not have enough independence.


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