A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems

PurposeThe purpose of this paper is to discuss the advantage of a combinatory methodology presented in this study. The paper suggests that the comparison with results of previously developed methods is in high agreement.Design/methodology/approachThis paper introduces a combined compromise decision-making algorithm with the aid of some aggregation strategies. The authors have considered a distance measure, which originates from grey relational coefficient and targets to enhance the flexibility of the results. Hence, the weight of the alternatives is placed in the decision-making process with three equations. In the final stage, an aggregated multiplication rule is employed to release the ranking of the alternatives and end the decision process.FindingsThe authors described a real case of choosing logistics and transportation companies in France from a supply chain project. Some comparisons such as sensitivity analysis approach and comparing to other studies and methods provided to validate the performance of the proposed algorithm.Originality/valueThe algorithm has a unique structure among MCDM methods which is presented for the first time in this paper.

[1]  G. Katona.  Rational behavior and economic behavior. , 1953, Psychological review.

[2]  H. Simon,et al.  Theories of Decision-Making in Economics and Behavioural Science , 1966 .

[3]  P. Yu.  A Class of Solutions for Group Decision Problems , 1973 .

[4]  John R. Hall,et al.  Applications Reviews , 1978 .

[5]  Stanley Zionts,et al.  MCDM---If Not a Roman Numeral, Then What? , 1979 .

[6]  B Wedge,et al.  Conflict Management , 2019, Cases in Public Relations Management.

[7]  L. Duckstein,et al.  Multiobjective optimization in river basin development , 1980 .

[8]  M. Roubens.  Preference relations on actions and criteria in multicriteria decision making , 1982 .

[9]  P. Vincke,et al.  Relational Systems of Preference with One or More Pseudo-Criteria: Some New Concepts and Results , 1984 .

[10]  P. Vincke,et al.  Note-A Preference Ranking Organisation Method: The PROMETHEE Method for Multiple Criteria Decision-Making , 1985 .

[11]  Christer Carlsson,et al.  Fuzzy multiple criteria decision making: Recent developments , 1996, Fuzzy Sets Syst..

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

[13]  Edmundas Kazimieras Zavadskas,et al.  The MOORA method and its application to privatization in a transition economy , 2006 .

[14]  Gwo-Hshiung Tzeng,et al.  Extended VIKOR method in comparison with outranking methods , 2007, Eur. J. Oper. Res..

[15]  Jayanath Ananda,et al.  A critical review of multi-criteria decision making methods with special reference to forest management and planning , 2009 .

[16]  Edmundas Kazimieras Zavadskas,et al.  An approach to multi‐attribute assessment of indoor environment before and after refurbishment of dwellings , 2009 .

[17]  Edmundas Kazimieras Zavadskas,et al.  A Novel Method for Multiple Criteria Analysis: Grey Additive Ratio Assessment (ARAS-G) Method , 2010, Informatica.

[18]  Xiaowei Xu,et al.  Multi-criteria decision making approaches for supplier evaluation and selection: A literature review , 2010, Eur. J. Oper. Res..

[19]  E. Zavadskas,et al.  Multiple criteria decision making (MCDM) methods in economics: an overview , 2011 .

[20]  Edmundas Kazimieras Zavadskas,et al.  Selection of Facade's Alternatives of Commercial and Public Buildings Based on Multiple Criteria , 2011 .

[21]  Zenonas Turskis,et al.  Reliability, Risk Management, and Contingency of Construction Processes and Projects , 2012 .

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

[23]  Roman Słowiński,et al.  Questions guiding the choice of a multicriteria decision aiding method , 2013 .

[24]  Salvatore Greco,et al.  An Overview of ELECTRE Methods and their Recent Extensions , 2013 .

[25]  E. Zavadskas,et al.  A complex proportional assessment method for group decision making in an interval-valued intuitionistic fuzzy environment , 2013 .

[26]  Edmundas Kazimieras Zavadskas,et al.  State of art surveys of overviews on MCDM/MADM methods , 2014 .

[27]  Tomas Baležentis,et al.  A Survey on Development and Applications of the Multi‐criteria Decision Making Method MULTIMOORA , 2014 .

[28]  Dagnija Blumberga,et al.  Thermal insulation alternatives of historic brick buildings in Baltic Sea Region , 2014 .

[29]  Karim Hadjri,et al.  Achieving zero carbon targets in buildings without compromising health and wellbeing of occupants – a new FM research direction , 2015 .

[30]  Edmundas Kazimieras Zavadskas,et al.  Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS) , 2015, Informatica.

[31]  Abbas Mardani,et al.  Multiple criteria decision-making techniques and their applications – a review of the literature from 2000 to 2014 , 2015 .

[32]  Ke Wang,et al.  S 1 Supplementary Materials : Land Use Changes Induced County-Scale Carbon Consequences in Southeast China 1979 – 2020 , Evidence from Fuyang , Zhejiang Province , 2015 .

[33]  Nara Medianeira Stefano,et al.  COPRAS (Complex Proportional Assessment): state of the art research and its applications , 2015 .

[34]  Türkay Dereli,et al.  Evaluation of excavator technologies: application of data fusion based MULTIMOORA methods , 2015 .

[35]  Seyed Hossein Razavi Hajiagha,et al.  Determining weights of fuzzy attributes for multi-attribute decision-making problems based on consensus of expert opinions , 2015 .

[36]  Argyris Kanellopoulos,et al.  Compromise programming: Non-interactive calibration of utility-based metrics , 2015, Eur. J. Oper. Res..

[37]  Edmundas Kazimieras Zavadskas,et al.  VIKOR Technique: A Systematic Review of the State of the Art Literature on Methodologies and Applications , 2016 .

[38]  Dinu Airinei,et al.  64B3AC - SYmmetric Crypto-system for Business Using the ASCII Alphabet and Algorithm Codes Called in Cascade , 2016 .

[39]  Jurgita Antucheviciene,et al.  Hybrid multiple criteria decision-making methods: a review of applications for sustainability issues , 2016 .

[40]  Miroslavas Pavlovskis,et al.  Application of MCDM and BIM for Evaluation of Asset Redevelopment Solutions , 2016 .

[41]  Muhammet Gulź,et al.  A state of the art literature review of VIKOR and its fuzzy extensions on applications , 2016 .

[42]  Jurgita Antucheviciene,et al.  HYBRID MULTIPLE CRITERIA DECISION MAKING METHODS: A REVIEW OF APPLICATIONS IN ENGINEERING , 2016 .

[43]  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..

[44]  Mehdi Keshavarz Ghorabaee,et al.  A NEW COMBINATIVE DISTANCE-BASED ASSESSMENT(CODAS) METHOD FOR MULTI-CRITERIA DECISION-MAKING , 2016 .

[45]  Kannan Govindan,et al.  ELECTRE: A comprehensive literature review on methodologies and applications , 2016, Eur. J. Oper. Res..

[46]  Muhamad Zameri Mat Saman,et al.  A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments , 2017, Appl. Soft Comput..

[47]  Zenonas Turskis,et al.  The Meaningful Mixed Data TOPSIS (TOPSIS-MMD) Method and its Application in Supplier Selection , 2017 .

[48]  Edmundas Kazimieras Zavadskas,et al.  Integrated group fuzzy multi-criteria model: Case of facilities management strategy selection , 2017, Expert Syst. Appl..

[49]  Chandra Prakash Garg,et al.  An integrated framework for sustainable supplier selection and evaluation in supply chains , 2017 .

[50]  Prasenjit Chatterjee,et al.  Integrated QFD-MCDM framework for green supplier selection , 2017 .