scholarly journals Railway communication system; Reliability; Mean time to failure; Markov process; Sensitivity

Author(s):  
Sarfaraz Hashemkhani Zolfani ◽  
◽  
Ali Ebadi Torkayesh ◽  
Ramin Bazrafshan ◽  
◽  
...  

Policy-making is an undeniable decision-making process in every company where different kinds of decisions are taken based on different goals and preferences in each vision. “Prospective Multiple Attribute Decision Making (PMADM)” is one of the well-known decision-making frameworks that have been used as a flexible decision-making tool for developing policies and making future decisions over different periods. This study presents a multi attribute problem with three different visions where a decision-making process is required for each vision in order to prioritize the potential set of alternatives. Evaluation Based on the Distance from the Average Solution (EDAS) is used as a MADM model to show the applicability and feasibility of the PMADM framework. A vision-based weighting system (ViWeS) prepares a new opportunity to take proper decisions in different visions and time requirements. This research is analyzed three-time vision (Current, 2025, and 2030) and showed by changing the time, the rank of the alternatives also is changed. In numerical example is indicated in the current vision, Alternative 5 gets rank one and alternative six get rank 2, for 2025 vision, the rank one and two don’t change, and in vision 2030, the rank of one does not change, but the rank of second change from Alternative 6 to 3.

2019 ◽  
Vol 14 (2) ◽  
pp. 220-232 ◽  
Author(s):  
Haiping Ren ◽  
Manfeng Liu ◽  
Hui Zhou

In actual decision making process, the final decision result is often affected by decision maker’s psychological behavior, however, for the multiple attribute decision making (MADM) problem in which attributes values are expressed with trapezoidal intuitionistic fuzzy numbers (TIFNs), there is few literature considering the decision maker's behavior factors in decision making process. For this case, this paper first proposes a new distance measure of TIFNs and a new ranking method which considers decision maker’s attitude behavior, and then develops an extended TODIM decision making method. Finally an example is given to illustrate the validity and practicability of the proposed method.


2018 ◽  
Vol 10 (12) ◽  
pp. 4451 ◽  
Author(s):  
Sarfaraz Hashemkhani Zolfani ◽  
Edmundas Kazimieras Zavadskas ◽  
Payam Khazaelpour ◽  
Fausto Cavallaro

Over the past few centuries, the process of decision-making has become more complicated in different respects. Since the initial phase of Multiple Criteria Decision Making (MCDM) around fifty years ago, Multiple Attribute Decision Making (MADM) has continued developing over the years as a sub-concept of MCDM. Noticeably, the importance of the decision-making process is increasingly expanding to such an extent that it necessarily blends into the undeniable processes of MADM actual models. Novel methods with different perspectives have been introduced considering the dynamic MADM concepts of time and future in classical frameworks; however, they do not overcome challenges in practice. Recently, Prospective MADM (PMADM) as a specific approach has presented future-oriented models using already known approaches of MCDM, and it has innovative items which show barriers of classic model of MADM. However, PMADM practically needs more conceptual bases to illustrate and plan the future of real decision-making problems. The Multi-Aspect Criterion is a new concept in mapping the future of the PMADM outline. In this regard, two examples of sustainability will be analyzed, and different requirements and aspects associated with PMADM will be discussed in this study. This new approach can support the PMADM outline in more detail and deal with a decision-making structure that can be considered as novel to industry experts.


2013 ◽  
Vol 548 ◽  
pp. 371-378
Author(s):  
Mahmut Yavuz ◽  
Secil Ozer Colpan

Determining the most convenient plant location is one of the commonly encountered problems in engineering applications. This paper presents an Analytic Hierarchy Process (AHP) model, which is developed for selecting the optimum plant location for marble/travertine factories in natural stones processing industry. The whole criteria which affect the decision making process in marble industry were determined to solve plant location problem in the AHP model. To determine optimum marble plant location for a new marble factory, which is planned to install by a mining firm located in the Eskisehir region in Turkey, an analysis was carried out by introducing the AHP method which is one of the well-known classical Multiple Attribute Decision Making (MADM) methods. This analysis shows that the AHP method can successfully be applied for the selection of plant location as well as any decision making process in natural stone industry.


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