Tracing knowledge diffusion of TOPSIS: A historical perspective from citation network

Abstract A citation network technology named main path analysis is used in this study, which provides a historical perspective of Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). The citations between related papers are regarded as edges in social network and the corresponding weights are allocated according to their role in knowledge diffusion. Several different main paths are implemented in this work to investigate the knowledge structure of TOPSIS. The Louvain clustering algorithm is conjoined with main path analysis to present the development trend in several scientific communities. The visualization of multiple main paths shows the overall knowledge structure instead of a single development trajectory. This is the first article to use this unique method to process such large-scale data in the TOPSIS domain, which provides an insightful view of TOPSIS publications for future research.

[1]  J. Liou,et al.  A Hybrid MCDM Model for Evaluating Strategic Alliance Partners in the Green Biopharmaceutical Industry , 2019, Sustainability.

[2]  Ting-Yu Chen,et al.  A Pythagorean Fuzzy TOPSIS Method Based on Novel Correlation Measures and Its Application to Multiple Criteria Decision Analysis of Inpatient Stroke Rehabilitation , 2018, Int. J. Comput. Intell. Syst..

[3]  Shyi-Ming Chen,et al.  Multiple-Attribute Group Decision-Making Based on q-Rung Orthopair Fuzzy Power Maclaurin Symmetric Mean Operators , 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[4]  Chandra Prakash,et al.  An analysis of integrated robust hybrid model for third-party reverse logistics partner selection under fuzzy environment , 2016 .

[5]  Sen Liu,et al.  Resilient Supplier Selection Based on Fuzzy BWM and GMo-RTOPSIS under Supply Chain Environment , 2019, Discrete Dynamics in Nature and Society.

[6]  Edmundas Kazimieras Zavadskas,et al.  Selecting a location for a liquefied natural gas terminal in the Eastern Baltic Sea , 2014 .

[7]  Morteza Yazdani,et al.  A state-of the-art survey of TOPSIS applications , 2012, Expert Syst. Appl..

[8]  Edmundas Kazimieras Zavadskas,et al.  An integrated model for prioritizing strategies of the iranian mining sector , 2011 .

[9]  Gražvydas Mykolas Paliulis,et al.  Evaluation of the requirement for passenger car parking spaces using multi-criteria methods , 2013 .

[10]  Ting-Yu Chen,et al.  A Novel Distance Measure for Pythagorean Fuzzy Sets and its Applications to the Technique for Order Preference by Similarity to Ideal Solutions , 2019, Int. J. Comput. Intell. Syst..

[11]  Louis Y.Y. Lu,et al.  The main paths of medical tourism: From transplantation to beautification , 2014 .

[12]  Volkan Yildirim,et al.  MUNICIPAL SOLID WASTE LANDFILL SITE SELECTION USING MULTI-CRITERIA DECISION MAKING AND GIS: CASE STUDY OF BURSA PROVINCE , 2018, Journal of Environmental Engineering and Landscape Management.

[13]  Edmundas Kazimieras Zavadskas,et al.  The concept of the ideal indoor environment in multi-attribute assessment of dwelling-houses , 2011 .

[14]  Bing Yu,et al.  A fuzzy TOPSIS model via chi-square test for information source selection , 2013, Knowl. Based Syst..

[15]  Drakoulis Martakos,et al.  Customer evaluation for order acceptance using a novel class of fuzzy methods based on TOPSIS , 2009, Expert Syst. Appl..

[16]  Emad Roghanian,et al.  Comparison of first aggregation and last aggregation in fuzzy group TOPSIS , 2010 .

[17]  Renato A. Krohling,et al.  Fuzzy TOPSIS for group decision making: A case study for accidents with oil spill in the sea , 2011, Expert Syst. Appl..

[18]  Mohammad Izadikhah,et al.  Extending TOPSIS in fuzzy environment by using the nearest weighted interval approximation of fuzzy numbers , 2014, J. Intell. Fuzzy Syst..

[19]  Samir K. Srivastava,et al.  A generalised fuzzy TOPSIS with improved closeness coefficient , 2018, Expert Syst. Appl..

[20]  B. B. Zaidan,et al.  Survey on fuzzy TOPSIS state-of-the-art between 2007 and 2017 , 2019, Comput. Oper. Res..

[21]  Ching-Lai Hwang,et al.  Methods for Multiple Attribute Decision Making , 1981 .

[22]  Seyed Bagher Hosseini,et al.  Evaluation of flexibility components for improving housing quality using fuzzy TOPSIS method , 2019, Journal of Building Engineering.

[23]  Huai-Wei Lo,et al.  An integrated model for solving problems in green supplier selection and order allocation , 2018, Journal of Cleaner Production.

[24]  Hasan Dincer,et al.  Hesitant Linguistic Term Sets-Based Hybrid Analysis for Renewable Energy Investments , 2019, IEEE Access.

[25]  Lei Shi,et al.  Regional differences study of renewable energy performance: A case of wind power in China , 2019, Journal of Cleaner Production.

[26]  Taho Yang,et al.  Multiple-attribute decision making methods for plant layout design problem , 2007 .

[27]  Gwo-Hshiung Tzeng,et al.  Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS , 2004, Eur. J. Oper. Res..

[28]  John S. Liu,et al.  Research fronts in data envelopment analysis , 2016 .

[29]  Selin Soner Kara,et al.  Long term supplier selection using a combined fuzzy MCDM approach: A case study for a telecommunication company , 2009, Expert Syst. Appl..

[30]  Bin Liang,et al.  Novel Enhanced-Oil-Recovery Decision-Making Work Flow Derived From the Delphi-AHP-TOPSIS Method: A Case Study , 2017 .

[31]  Ching-Lai Hwang,et al.  A new approach for multiple objective decision making , 1993, Comput. Oper. Res..

[32]  Edmundas Kazimieras Zavadskas,et al.  Risk evaluation of tunneling projects , 2012 .

[33]  Jian-Xin You,et al.  A Heterogeneous MCDM Framework for Sustainable Supplier Evaluation and Selection Based on the IVIF-TODIM Method , 2019, Sustainability.

[34]  Masoud Rabbani,et al.  A comprehensive decision-making structure for acceptance/rejection of incoming orders in make-to-order environments , 2008 .

[35]  John S. Liu,et al.  A few notes on main path analysis , 2019, Scientometrics.

[36]  Diana Lucio-Arias,et al.  Main-path analysis and path-dependent transitions in HistCite™-based historiograms , 2008 .

[37]  Zeshui Xu,et al.  Covering-based generalized IF rough sets with applications to multi-attribute decision-making , 2019, Inf. Sci..

[38]  Gülçin Büyüközkan,et al.  A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers , 2012, Expert Syst. Appl..

[39]  Reza Tavakkoli-Moghaddam,et al.  Group decision making based on novel fuzzy modified TOPSIS method , 2011 .

[40]  Ying-Ming Wang,et al.  Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment , 2006, Expert Syst. Appl..

[41]  Yuejin Tan,et al.  A GROUP DECISION-MAKING MODEL FOR WASTEWATER TREATMENT PLANS SELECTION BASED ON INTUITIONISTIC FUZZY SETS , 2018, Journal of Environmental Engineering and Landscape Management.

[42]  Chen-Tung Chen,et al.  Extensions of the TOPSIS for group decision-making under fuzzy environment , 2000, Fuzzy Sets Syst..

[43]  Yong-Huang Lin,et al.  Multi-attribute group decision making model under the condition of uncertain information , 2008 .

[44]  Zeshui Xu,et al.  Extension of TOPSIS to Multiple Criteria Decision Making with Pythagorean Fuzzy Sets , 2014, Int. J. Intell. Syst..

[45]  Wen Jiang,et al.  Extension of TOPSIS Method and its Application in Investment , 2018 .

[46]  Chung-Hsing Yeh,et al.  Inter-company comparison using modified TOPSIS with objective weights , 2000, Comput. Oper. Res..

[47]  T. Kuhn,et al.  The Structure of Scientific Revolutions. , 1964 .

[48]  Serkan Yavuz,et al.  Weapon selection using the AHP and TOPSIS methods under fuzzy environment , 2009, Expert Syst. Appl..

[49]  Daniela Fuchs-Hanusch,et al.  A bibliometric-based survey on AHP and TOPSIS techniques , 2017, Expert Syst. Appl..

[50]  Edmundas Kazimieras Zavadskas,et al.  Risk assessment of construction projects , 2010 .

[51]  J. Chovancová,et al.  Assessment of economic and environmental energy performance of EU countries using CV-TOPSIS technique , 2019, Ecological Indicators.

[52]  Hewei Yu,et al.  Network Selection Algorithm for Multiservice Multimode Terminals in Heterogeneous Wireless Networks , 2019, IEEE Access.

[53]  Mehmet Alegoz,et al.  Supplier selection and order allocation decisions under quantity discount and fast service options , 2019, Sustainable Production and Consumption.

[54]  Adil Baykasoglu,et al.  Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection , 2013, Expert Syst. Appl..

[55]  Peide Liu,et al.  Multi‐attribute decision‐making method research based on interval vague set and TOPSIS method , 2009 .

[56]  John S. Liu,et al.  The main paths of eTourism: trends of managing tourism through Internet , 2017 .

[57]  Anjali Awasthi,et al.  A fuzzy multicriteria approach for evaluating environmental performance of suppliers , 2010 .

[58]  Ali Emrouznejad,et al.  Finding the optimal combination of power plants alternatives: A multi response Taguchi-neural network using TOPSIS and fuzzy best-worst method , 2018, Journal of Cleaner Production.

[59]  Z. Yue.  A method for group decision-making based on determining weights of decision makers using TOPSIS , 2011 .

[60]  H. Di̇nçer,et al.  Selecting the House-of-Quality-Based Energy Investment Policies for the Sustainable Emerging Economies , 2019, Sustainability.

[61]  Dariusz Kacprzak,et al.  Fuzzy TOPSIS method with ordered fuzzy numbers for flow control in a manufacturing system , 2017, Appl. Soft Comput..

[62]  Ewa Roszkowska,et al.  The fuzzy saw and fuzzy TOPSIS procedures based on ordered fuzzy numbers , 2016, Inf. Sci..

[63]  Serhat Yüksel,et al.  An integrated stochastic fuzzy MCDM approach to the balanced scorecard-based service evaluation , 2019, Math. Comput. Simul..

[64]  Alexander M Shneider.  Four stages of a scientific discipline; four types of scientist. , 2009, Trends in biochemical sciences.

[65]  Ravi Kant,et al.  A fuzzy AHP-TOPSIS framework for ranking the solutions of Knowledge Management adoption in Supply Chain to overcome its barriers , 2014, Expert Syst. Appl..

[66]  Tushar N. Desai,et al.  Prioritising solutions for Lean Six Sigma adoption barriers through fuzzy AHP-modified TOPSIS framework , 2018, International Journal of Lean Six Sigma.

[67]  Irina Vinogradova,et al.  Multi-Attribute Decision-Making Methods as a Part of Mathematical Optimization , 2019, Mathematics.

[68]  Himanshu Gupta,et al.  Supplier selection among SMEs on the basis of their green innovation ability using BWM and fuzzy TOPSIS , 2017 .

[69]  Gülçin Büyüközkan,et al.  Selection of the strategic alliance partner in logistics value chain , 2008 .

[70]  Diyar Akay,et al.  A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method , 2009, Expert Syst. Appl..

[71]  E. Zavadskas,et al.  Equipment Selection Using Fuzzy Multi Criteria Decision Making Model: Key Study of Gole Gohar Iron Min , 2012 .

[72]  Weize Wang.  On fuzzy TOPSIS method based on alpha level sets , 2017, J. Intell. Fuzzy Syst..

[73]  Mooyoung Jung,et al.  Satisfaction assessment of multi-objective schedules using neural fuzzy methodology , 2003 .

[74]  Qin Wang,et al.  Probabilistic multi-criteria assessment of renewable micro-generation technologies in households , 2019, Journal of Cleaner Production.

[75]  David L. Olson,et al.  Comparison of weights in TOPSIS models , 2004, Math. Comput. Model..

[76]  Khalil Md Nor,et al.  Development of TOPSIS Method to Solve Complicated Decision-Making Problems - An Overview on Developments from 2000 to 2015 , 2016, Int. J. Inf. Technol. Decis. Mak..

[77]  Amirreza Mahpour.  Prioritizing barriers to adopt circular economy in construction and demolition waste management , 2018, Resources, Conservation and Recycling.

[78]  Yu Xiao,et al.  Knowledge diffusion path analysis of data quality literature: A main path analysis , 2014, J. Informetrics.

[79]  Manoj Kumar Tiwari,et al.  Novel fuzzy hybrid multi-criteria group decision making approaches for the strategic supplier selection problem , 2015, Expert Syst. Appl..

[80]  Kai Wang,et al.  A group decision making sustainable supplier selection approach using extended TOPSIS under interval-valued Pythagorean fuzzy environment , 2019, Expert Syst. Appl..

[81]  Gyutai Kim,et al.  Identifying investment opportunities for advanced manufacturing systems with comparative-integrated performance measurement , 1997 .

[82]  Thomas L. Saaty,et al.  When is a Decision-Making Method Trustworthy? Criteria for Evaluating Multi-Criteria Decision-Making Methods , 2015, Int. J. Inf. Technol. Decis. Mak..