Applying Analytic Hierarchy Process-Technique for Order Preference by Similarity to Ideal Solution (AHP-TOPSIS) model to evaluate individual investment performance of retirement planning policy
نویسندگان
چکیده
Owing to aged people become more and more and serious economy depression in the present society in Taiwan, how retirees will keep their past consumption level after their retirement is an important issue. The purpose of this research will appraise the performance of individual investment planning policy for retirement. Because the investment performance, risks, taxation etc must be considered in making investment policy choices, the methodology of this article will apply the analytic hierarchy process (AHP) (Satty, 1980), which is a multi-criteria decision making technique and use the technique for order preference by similarity to ideal solution (TOPSIS) to select the optimal individual retirement investment planning policy to determine the effectiveness of the proposed evaluation model. The analytic hierarchy process is to be used to establish quantitative and qualitative criteria and design a framework of an assessment method for evaluating individual investment policy performance in this research. These research results will provide some suggestions for investors retirement planning.
منابع مشابه
Vendor Selection: An Enhanced Hybrid Fuzzy MCDM Model
The objective of this article is to develop an empirically based framework for formulating and selecting a vendor in supply chain. This study applies the fuzzy set theory to evaluate the vendor selection decision. Applying Analytic Hierarchy Process (AHP) in obtaining criteria weights and applied Technique for Order Performance by Similarity to Idea Solution (TOPSIS) for obtaining final ranking...
متن کاملAnalytic hierarchy process and technique for order preference by similarity to ideal solution: a bibliometric analysis 'from' past, present and future of AHP and TOPSIS
Previous review papers on analytic hierarchy process (AHP) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) mainly focused on the application areas and paid scant attention to the framework development of AHP, TOPSIS and their hybrid methods. The purpose of this paper is to review the literature on analytic hierarchy process (AHP), type of scale used in AHP, modified ...
متن کاملCase Mix Planning using The Technique for Order of Preference by Similarity to Ideal Solution and Robust Estimation: a Case Study
Management of surgery units and operating room (OR) play key roles in optimizing the utilization of hospitals. On this line Case Mix Planning (CMP) is normally applied to long term planning of OR. This refers to allocating OR time to each patient’s group. In this paper a mathematical model is applied to optimize the allocation of OR time among surgical groups. In addition, another technique is ...
متن کاملUsing multi-criteria evaluation techniques of fuzzy analytic hierarchy process and fuzzy TOPSIS in locating waste sanitary landfill sites
Considering non-normative extension and too much development of cities, the lack of accurate model of consumption, increasing waste production, the most logical and most economical method for disposal of municipal waste is sanitary landfill. Given that, to identify areas prone to waste landfilling requires application of comprehensive techniques. The main objective for the present research is t...
متن کاملRanking Bank Branches with Interval Data By IAHP and TOPSIS
This paper proposes a method for ranking decision making units (DMUs) using some of the multiple criteria decision making / multiple attribute decision making (MCDM /MADM) techniques, namely, interval analytic hierarchy process (IAHP) and the technique for order preference by similarity to an ideal solution (TOPSIS). Since the efficiency score of unity is assigned to ...
متن کامل