Developmental Performance Ranking of SAARC Nations: An Application of TOPSIS Method of Multi-Criteria Decision Making

To be developed, nations are trying to cope up with the fast-changing economy and technology of the world. But the development of a nation does not depend only on these two factors rather several other indicators are essential to a country’s development. The present study deals with the progress of the SAARC (South Asian Association for Regional Cooperation) countries towards development through social, economic and environmental stability. This study aims at analyzing the comparative developmental performance of the SAARC nations in accordance with the Millennium Development Goals (MDGs) and Sustainable Development Goals (SDGs). In this study, we have prioritized the 8 SAARC nations based on 4 indicators (economic, demographic, health and environment indicators) and 20 variables using the multi-criteria decision-making method (MCDM). The result showed that Sri Lanka has prioritized 1st followed by Bhutan. India has been ranked 4th and Afghanistan was least prioritized.

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Developing regional cooperation strategies by multi-criteria decision making approaches

The Annals of Regional Science ◽

10.1007/s00168-011-0436-6 ◽

2011 ◽

Vol 49 (1) ◽

pp. 191-211

Author(s):

Jen-Jia Lin ◽

Yu-Hung Liu

Keyword(s):

Decision Making ◽

Regional Cooperation ◽

Multi Criteria Decision Making

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Gender Imbalance in Policy Making Level in Science and Ethical Issue

Bangladesh Journal of Bioethics ◽

10.3329/bioethics.v2i1.9812 ◽

1970 ◽

Vol 2 (1) ◽

pp. 13-17

Author(s):

Shamima Parvin Lasker

Keyword(s):

Decision Making ◽

Millennium Development Goals ◽

Policy Making ◽

Prime Minister ◽

Marie Curie ◽

Gender Imbalance ◽

Representation Of Women ◽

Participation Of Women ◽

Development Goals ◽

Developed Nations

When the achievement of women leadership in Science and technology (S&T) is heighten in developed nations in comparison to women in developing countries, it is unfortunate that women are invariably left below, rarely reaching decision-making positions in S&T in Bangladesh. In Bangladesh, Prime Minister and Leader of Opposition are female but when it comes to leadership in science, it is difficult to find a Marie Curie in Bangladesh. Men are twenty times more likely than women to reach the top level positions in research. Women are underrepresented in almost in all scientific boards. The scarcity of women in senior positions in such bodies inevitably means that their opinions are less likely to be voiced in policy and decisionmaking processes, which may lead to bias decision-making and priority setting in scientific research. The causes of lower representation of women in S&T are discussed. All the causes raise ethical questions and violate the Universal Declaration of Human Rights (UDTH). Millennium development goals can never be accomplished without the active participation of women who represent 50 percent of the population, particularly their involvement in science education. Based on this analysis, a change of culture is required to improve gender imbalance in decision-making level in science.DOI: http://dx.doi.org/10.3329/bioethics.v2i1.9812 Bangladesh Journal of Bioethics 2011; 2(1): 13-17

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Performance Reflections on Quality Education in Respect of SDGs: A Re-Assessment of Indian States and UTs Using TOPSIS Approach

Asian Review of Social Sciences ◽

10.51983/arss-2019.8.1.1511 ◽

2019 ◽

Vol 8 (1) ◽

pp. 102-109

Author(s):

Ayan Chattopadhyay ◽

Somarata Chakraborty

Keyword(s):

Decision Making ◽

Sustainable Development ◽

Sustainable Development Goals ◽

Missing Values ◽

Quality Education ◽

Multi Criteria Decision Making ◽

Indian States ◽

Arithmetic Average ◽

Average Theory ◽

Development Goals

The success of Millennium Development Goals (MDGs) has led to the initiation of Sustainable Development Goals by the United Nations, earmarking a time frame of 2016–2030 for its achievement. The Sustainable Development Goals framework consists of 17 goals and 169 targets within the three broader dimensions of economic, social and environmental development. The performance evaluation of Indian states and union territories, available in SDG India Index Baseline Report, 2018, has been recently concluded by NITI Aayog. Focusing on goal 4that puts thrust on quality education, NITI Aayog has considered 7 criteria capturing targets 4.1 besides 4.c and 36 alternatives (Indian states and union territories) within a multi criteria decision making environment where criteria weights are assumed to be equal, performance calculated on the basis of simple arithmetic average theory and missing value cases not considered in their computation. This simplistic approach partially captures the effect of complex interplay between the multiple criterions. The purpose of this paper is to re-evaluate the performance of Indian states and union territories with respect to goal 4of Sustainable Development Goals, as estimated by NITI Aayog. It also aims to provide a more holistic picture on performance ranking by incorporating varying weights of criteria, as obtained from Shannon’s entropy, and replacing arithmetic average theory with a more rigorous mathematical model within the domain of multi criteria decision making. In this study Technique for Order Preference by Similarity to Ideal Solution have been used to generate an index for ranking alternatives and all missing values have been figured from expectation maximization algorithm. As expected, rank reversal phenomenon has been observed and a very low level of convergence between ranks obtained from the proposed approach and that of NITI Aayog emerges.

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A Comparative Analysis of CE-Topsis and CE-Maut Methods

International Journal of Strategic Decision Sciences ◽

10.4018/ijsds.2020070102 ◽

2020 ◽

Vol 11 (3) ◽

pp. 18-51

Author(s):

Hakan Altin

Keyword(s):

Decision Making ◽

Comparative Analysis ◽

Multi Criteria Decision Making ◽

Positive Direction ◽

Entropy Methods ◽

The Third ◽

First Finding ◽

Close Relationship ◽

Analysis Of Performance ◽

Performance Ranking

The key objective of this study is to conduct a comparative analysis of performance ranking results of the two multi-criteria decision-making methods, namely TOPSIS and MAUT. In this study, the CRITIC and ENTROPY methods were utilized as objective weighting techniques. In the application part of this study, three salient findings were attained. The first finding was that of the close relationship between TOPSIS ranking conducted by CRITIC and ENTROPY methods. The second finding was that of the close relationship between the MAUT ranking conducted by the CRITIC and ENTROPY methods. The third finding was that of the mutual and significant relationship in a positive direction between the performance ranking results obtained by TOPSIS and MAUT methods. In other words, TOPSIS and MAUT methods give the same performance ranking results. The results found are statistically significant.

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Framework to Analyze Construction Labor Productivity Using Fuzzy Data Clustering and Multi-Criteria Decision-Making

Construction Research Congress 2020 ◽

10.1061/9780784482865.006 ◽

2020 ◽

Author(s):

Matin Kazerooni ◽

Mohammad Raoufi ◽

Aminah Robinson Fayek

Keyword(s):

Decision Making ◽

Labor Productivity ◽

Data Clustering ◽

Fuzzy Data ◽

Multi Criteria Decision Making

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Perancangan aplikasi multi criteria decision making dalam penerimaan beasiswa kepada dosen studi lanjut STMIK Balikpapan menggunakan metode SAW

Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) ◽

10.33173/jsikti.10 ◽

2018 ◽

Vol 1 (1) ◽

pp. 35-42

Author(s):

Muslimin B ◽

Sumardi Sumardi

Keyword(s):

Decision Making ◽

Learning Process ◽

Teaching And Learning ◽

Teaching Assistants ◽

Multi Criteria Decision Making ◽

Scholarship Recipients ◽

The Matrix ◽

Application Decision ◽

High Degree ◽

New Student

Interests and number of STMIK Balikpapan new student enrollments are increasing every year. The balance of the ratio of lecturers to students is one of the most important components in improving the quality and teaching and learning process of a university. Avoiding shortages in the number of lecturers can be realized by providing scholarship programs to alumni and teaching assistants. This study aims to build a multi criteria decision making application that can assist the Head of HRD in the process of receiving scholarships to advanced and effective study lecturers. The multi criteria decision making application developed in this study uses the SAW method. The implementation of the SAW method includes the process of evaluating the weighting of criteria, evaluating alternative weights, the matrix process, the results of decision making preferences, resulting in the weighting and ranking of each alternative candidate for the scholarship recipient. The results of the evaluation of multi-criteria application decision making in the study are expected to produce modeling with a high degree of accuracy. The results of the analysis carried out can provide alternative recommendations for prospective scholarship recipients to advanced study lecturers in STMIK Balikpapan.

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Applying the Multi-Criteria Decision Making Model for Ranking Commercial Banks: The Case of Vietnam

Journal of Economics and Development ◽

10.33301/2019.jed.spi.09 ◽

2019 ◽

pp. 125-133

Author(s):

Duong Truong Thi Thuy ◽

Anh Pham Thi Hoang

Keyword(s):

Decision Making ◽

Commercial Banks ◽

Decision Model ◽

Business Models ◽

Multi Criteria Decision Making ◽

Ideal Solution ◽

Topsis Method ◽

Decision Making Model

Banking has always played an important role in the economy because of its effects on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversified. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam.

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