TOPSIS Method for Determining The Priority of Strategic Training Program

The voice of stakeholders is an important issue for government or public organizations. The issue becomes an input in designing strategic program. Decision maker should evaluate the priority to get the importance level. The decision making process is a complex problem because it is influenced by many critetria. The purpose of this study is to solve multi-criteria decision making problem using TOPSIS method. This method is proposed due to its easy and simple computation process. The case sample is determining the strategic training program in energy and mineral resources field. TOPSIS analysis may be able to assist decision maker in allocating resources for the preparation of strategic training program in accordance with the prioritie

MCDM METHOD FOR N-WISE CRITERIA COMPARISONS AND INCONSISTENT PROBLEMS

The purpose of this paper is to present an e[xtension and alternative of the hybrid method based on Saaty’s Analytical Hierarchy Process and Technique for Order Preference by Similarity to Ideal Solution method (AHP-TOPSIS), that based on the AHP and its use of pairwise comparisons, to a new method called α -D MCDM-TOPSIS( α -Discounting Method for multicriteria decision making-TOPSIS). The new method overcomes limits of AHP which work only for pairwise comparisons of criteria to any-wise (n-wise) comparisons, with crisp coefficients or with interval-valued coefficients. α-D MCDM-TOPSIS is verified by some examples to demonstrate how it allows for consistency, inconsistent, weak, inconsistent, and strong inconsistent problems

Electric Bus Selection with Multicriteria Decision Analysis for Green Transportation

Eren, Tamer/0000-0001-5282-3138; Hamurcu, Mustafa/0000-0002-6166-3946WOS:000531558100202Multicriteria decision-making tools are widely used in complex decision-making problems. There are also numerous points of decision-making in transportation. One of these decision-making points regards clean technology vehicle determination. Clean technology vehicles, such as electric buses, have some advantages compared to other technologies like internal combustion engine vehicles. Notably, electric vehicles emit zero tailpipe emissions, thereby ensuring cleaner air for cities and making these clean technologies preferable to other technologies, especially in highly populated areas for better air quality and more livable cities. In this study, we propose a multicriteria decision-making process using analytic hierarchy process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) in the context of an electric bus in the center of Ankara. Six potential electric bus alternatives were evaluated under seven specific criteria. Overall, EV-2 electric buses outperformed other electric bus alternatives based on the chosen criteria. In addition, the stability of the results obtained under different scenarios using this method was established via sensitivity analysis

Penerapan Multiple Criteria Decision Making untuk Pemilihan Dosen Prestasi

Dengan adanya penyelenggaraan pemilihan dosen berprestasi di tingkat nasional, maka diharapkan setiap perguruan tinggi terdorong untuk memiliki sistem penghargaan yang terprogram bagi dosen yang memiliki prestasi tinggi dalam pelaksanaan tridarma perguruan tinggi. Dalam pemilihan dosen berprestasi tersebut sering muncul subyektifitas para pengambil keputusan.Tujuan dari penelitian ini adalah dengan penunjang keputusan, pengambilan keputusan akan lebih objektif dalam memilih dosen berprestasi. Penelitian Multiple Criteria Decision Making dilakukan dengan menggunakan 2 metode yaitu Analytical Hierarchy Process (AHP) dan Technique for Order by Similarity to Ideal Solution (TOPSIS). AHP digunakan untuk menentukan bobot kepentingan dari setiap kriteria dan sub kriteria penilaian dosen berprestasi, kemudian TOPSIS digunakan untuk memilih alternatif dosen berprestasi yang memerlukan pertimbangan. Hasil penelitian  menunjukkan bahwa AHP dan TOPSIS dapat digunakan sebagai pendukung pembuat keputusan yang multi kriteria dan memerlukan banyak pertimbangan dalam pemilihan dosen berprestasi di perguruan tinggi. Metode AHP dan TOPSIS dapat membedakan dengan jelas  berdasarkan nilai preferensi yang dihasilkan sehingga memberikan keputusan yang objektif

The Ship Management Firm Selection: The Case of South Korea

Although extant literature has stressed importance of the use of ship management and identified the selection factors, relative evaluation of comprehensive selection factors is found to be lacking. This study aims to evaluate the overall performance and rank of the ship management firms by adopting an integrated model of Analytic Hierarchy Process (AHP) and Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) in order to support the critical decision making on SMF selection based on multiple criteria. This study contributes to enhancing the selection criteria of ship management firms by the ship-owners, and at the same time identifies the areas that the ship management firms require to improve their service standards. The result indicates that competency is the most important criterion, followed by cost, courtesy, organisation characteristics and image

Modeling, evaluation, and zoning of Marivan county ecotourism potential using fuzzy logic, FAHP, and TOPSIS

Among all the diverse regions of Iran, Marivan is considered one of the touring poles in the country thanks to its unique views which play an important role in providing ecotourism potential. Currently, despite the importance of the issue, no specific study and planning have been done to locate proper zones for an outing. In this regard, evaluation of the land potential for any kind of activity such as recreational planning is the first step in planning. In this study, we evaluated and zoned the ecotourism potential of Marivan in Kurdistan province with fuzzy logic, FAHP, and TOPSIS, based on 15 criteria and applying GIS, where the outcome was zoning map of areas most suitable for ecotourism development. The results indicated that a total area of 3183 km2 (included in the study), classes 4 and 5, respectively, with 151 and 513 km2 constitute the most appropriate zones for ecotourism development. Among points with ecotourism attraction, the Zarivar Lake claimed the top priority while Anjiran Heights received the last priority

Selection of tourism destinations priority using 6AsTD framework and TOPSIS

Many tourist cities in developing countries, especially in Indonesia, have exciting tourism destinations. However, some of them do not use a good management concept, for example, to develop tourism destinations. Early process in the development of the destination is making priority selection appropriately. They should consider the success level of tourism destinations. This paper discusses implementations of the 6AsTD framework and TOPSIS method as a combination concept to select destinations priority that recommended to do development. 6AsTD has six components that reflect successful tourism destinations. All components used in the process of the TOPSIS method as input criteria. This research used 11 tourism destinations data bundles in Batu City. The result is a tourism destination with the highest priority has a score of 0.88, and the lowest priority has a score of 0.19

TOPSIS and Modified TOPSIS: A comparative analysis

Selection of an appropriate Multiple Attribute Decision Making (MADM) method for providing a solution to a
 given MADM problem is always challenging endeavour. The challenge is even greater for situations where for a specific MADM problem there exist multiple MADM methods with similar degree of suitability. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and its dominant variant the Modified TOPSIS methods are two very similar methods applicable to the same type of MADM problems. This study provides extensive simulation-based comparisons and mathematical analysis of these two popular methods in order to clarify the confusion regarding their selection for solving MADM problems

Intelligent geospatial decision support system for Malaysian marine geospatial data infrastructure

Marine resources for different uses and activities are characterised by multi-dimensional concepts, criteria, multi-participants, and multiple-use conflicts. In addition, the fuzzy nature in the marine environment has attendant features that increase the complexity of the environment, thus, necessitating the quest for multiple alternative solutions and adequate evaluation, particularly within the context of Marine Geospatial Data Infrastructure (MGDI). However, in the literature of MGDI, there has yet to be a concerted research effort and framework towards holistic consideration of decision making prospects using multi-criteria evaluation (MCE) and intelligent algorithms for effective and informed decision beyond the classical methods. This research, therefore, aims to develop and validate an intelligent decision support system for Malaysian MGDI. An integrated framework built on mixed method research design serves as the mode of inquiry. Initially, the quantitative methodology, comprising of Dynamic Analytic Network Process (DANP) model, comprehensive evaluation index system (CEIS), MCE extensions, geographic information system’s spatial interaction modelling (SIM), and hydrographic data acquisition sub-system was implemented. Within this framework, a case study validation was employed for the qualitative aspect to predict the most viable geospatial extents within Malaysian waters for exploitation of deep sea marine fishery. Quantitative findings showed that the model has an elucidated CEIS with a DANP network model of 7 criteria, 28 sub-criteria, and 145 performance indicators, with 5 alternatives. In the MCE, computed priority values for Analytic Hierarchy Process (AHP) and Fuzzy AHP are different though their rankings are the same. In addition, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Fuzzy TOPSIS results from the MCE extensions showed that they were similarly ranked for the Exclusive Economic Zone (EEZ) (200 nm) area as predicted by the DANP model. Furthermore, re-arrangement of the priorities in sensitivity analysis enhanced the final judgment for the criteria being evaluated; and for the SIM. Qualitatively, the validation of the DANP through the prediction has cumulated a computed value of 76.39 nm (141.47 Km) where this would be the most viable and economical deep sea fishery exploitation location in Malaysian waters and within the EEZ. In this study, MGDI decision and MgdiEureka are newly formulated terminologies to depict decisions in the realms of MGDI initiatives and the developed applications. The framework would serve as an improved marine geospatial planning for various stakeholders prior to decision making

Small-unit water purifiers in U.S. Army special operations: a multi-attribute evaluation

Due to the austere and isolated locations of their missions, U.S. Army special operations forces units need to be self-sufficient in sustaining their potable water supply needs for survival. Current equipment used in the conventional Army is too heavy and operationally complex to meet size, mobility, and maintenance requirements. Therefore, special forces purchase most of their water purification equipment off-the-shelf; these systems are not designed with special forces in mind. This research applies multi-attribute decision analysis methods to identify a preferred commercial off-the-shelf water purification system for use in a special operations forces environment. Using feedback from seven public health professionals and end users in the Army, four water purification systems were identified to evaluate against nine performance criteria. The results illustrate the utility of multi-attribute decision processes in selecting technologies when there are multiple performance objectives and no single technology best meets any single objective.Master of Scienc