A group TOPSIS-COPRAS methodology with Pythagorean fuzzy sets considering weights of experts for project critical path problem

[1]  S. Meysam Mousavi,et al.  Enhancing decision-making flexibility by introducing a new last aggregation evaluating approach based on multi-criteria group decision making and Pythagorean fuzzy sets , 2017, Appl. Soft Comput..

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

[3]  Lazim Abdullah,et al.  A new type-2 fuzzy set of linguistic variables for the fuzzy analytic hierarchy process , 2014, Expert Syst. Appl..

[4]  Ahmad Makui,et al.  Interval-Valued Hesitant Fuzzy Method based on Group Decision Analysis for Estimating Weights of Decision Makers , 2016 .

[5]  M. Amiri,et al.  Application of fuzzy multi-attribute decision making in determining the critical path by using time, cost, risk, and quality criteria , 2011 .

[6]  Lazim Abdullah,et al.  A decision making method based on interval type-2 fuzzy sets: An approach for ambulance location preference , 2018 .

[7]  S. Meysam Mousavi,et al.  Soft computing-based new interval-valued hesitant fuzzy multi-criteria group assessment method with last aggregation to industrial decision problems , 2017, Soft Comput..

[8]  H. Gitinavard,et al.  Project safety evaluation by a new soft computing approach-based last aggregation hesitant fuzzy complex proportional assessment in construction industry , 2017 .

[9]  Norhazilan Md Noor,et al.  Hybrid SWARA-COPRAS method for risk assessment in deep foundation excavation project: an Iranian case study , 2017 .

[10]  Herman Akdag,et al.  The evaluation of hospital service quality by fuzzy MCDM , 2014, Appl. Soft Comput..

[11]  E. Ertugrul Karsak,et al.  An integrated fuzzy MCDM approach for supplier evaluation and selection , 2015, Comput. Ind. Eng..

[12]  S. Meysam Mousavi,et al.  A new approach of multi-criteria analysis for the evaluation and selection of sustainable transport investment projects under uncertainty: A case study , 2017, Int. J. Comput. Intell. Syst..

[13]  Francisco Rodrigues Lima Junior,et al.  A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection , 2014, Appl. Soft Comput..

[14]  José Ramón,et al.  Critical Path Definition Using Multicriteria Decision Making: PROMETHEE Method , 2013 .

[15]  Joseph Z. Shyu,et al.  Performance Evaluation of Medical Device Manufacturers Using a Hybrid Fuzzy MCDM , 2017 .

[16]  S. Meysam Mousavi,et al.  A New Approach in Failure Modes and Effects Analysis Based on Compromise Solution by Considering Objective and Subjective Weights with Interval-Valued Intuitionistic Fuzzy Sets , 2018 .

[17]  Samira Zareei,et al.  Project scheduling for constructing biogas plant using critical path method , 2018 .

[18]  Witold Pedrycz,et al.  An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment , 2017, Eur. J. Oper. Res..

[19]  Sandeep Singhal,et al.  Implementation of fuzzy TOPSIS methodology in selection of procedural approach for facility layout planning , 2017 .

[20]  Alev Taskin Gumus,et al.  A comprehensive review of multi criteria decision making approaches based on interval type-2 fuzzy sets , 2015, Knowl. Based Syst..

[21]  Zeki Karaca,et al.  The Application of Critical Path Method (CPM) in Workflow Schema of Marble Processing Plants , 2007 .

[22]  Ronald R. Yager,et al.  Pythagorean Membership Grades in Multicriteria Decision Making , 2014, IEEE Transactions on Fuzzy Systems.

[23]  Morteza Pakdin Amiri,et al.  Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods , 2010, Expert Syst. Appl..

[24]  S. Meysam Mousavi,et al.  R&D project evaluation and project portfolio selection by a new interval type-2 fuzzy optimization approach , 2017, Neural Computing and Applications.

[25]  Ching-Lai Hwang,et al.  Multiple Attribute Decision Making: Methods and Applications - A State-of-the-Art Survey , 1981, Lecture Notes in Economics and Mathematical Systems.

[26]  Ronald R. Yager,et al.  Pythagorean Membership Grades, Complex Numbers, and Decision Making , 2013, Int. J. Intell. Syst..

[27]  Kavita Devi,et al.  Extension of VIKOR method in intuitionistic fuzzy environment for robot selection , 2011, Expert Syst. Appl..

[28]  Peng Wang,et al.  Some q‐Rung Orthopair Fuzzy Aggregation Operators and their Applications to Multiple‐Attribute Decision Making , 2018, Int. J. Intell. Syst..

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

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

[31]  S. Meysam Mousavi,et al.  Cross-docking Location Selection in Distribution Systems: A New Intuitionistic Fuzzy Hierarchical Decision Model , 2016, Int. J. Comput. Intell. Syst..

[32]  S. Meysam Mousavi,et al.  Solving group decision-making problems in manufacturing systems by an uncertain compromise ranking method , 2018, Int. J. Appl. Decis. Sci..

[33]  Peide Liu,et al.  Some q‐Rung Orthopai Fuzzy Bonferroni Mean Operators and Their Application to Multi‐Attribute Group Decision Making , 2018, Int. J. Intell. Syst..

[34]  Shyi-Ming Chen,et al.  Group Decision Making Based on Heronian Aggregation Operators of Intuitionistic Fuzzy Numbers , 2017, IEEE Transactions on Cybernetics.

[35]  Pankaj Gupta,et al.  A new fuzzy group multi-criteria decision making method with an application to the critical path selection , 2016 .

[36]  Xiuli Geng,et al.  An extended 2-tuple linguistic DEA for solving MAGDM problems considering the influence relationships among attributes , 2017, Comput. Ind. Eng..

[37]  R. Tavakkoli-Moghaddam,et al.  Robot selection by a multiple criteria complex proportional assessment method under an interval-valued fuzzy environment , 2014 .

[38]  Cengiz Kahraman,et al.  Fuzzy COPRAS method for performance measurement in total productive maintenance: a comparative analysis , 2016 .

[39]  S. Meysam Mousavi,et al.  Analyzing project cash flow by a new interval type-2 fuzzy model with an application to construction industry , 2017, Neural Computing and Applications.

[40]  Guiwu Wei,et al.  Pythagorean fuzzy interaction aggregation operators and their application to multiple attribute decision making , 2017, J. Intell. Fuzzy Syst..

[41]  Zeshui Xu,et al.  The Properties of Continuous Pythagorean Fuzzy Information , 2016, Int. J. Intell. Syst..

[42]  Yong Yang,et al.  Some Results for Pythagorean Fuzzy Sets , 2015, Int. J. Intell. Syst..

[43]  Yankui Liu,et al.  A new probability model for insuring critical path problem with heuristic algorithm , 2015, Neurocomputing.

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

[45]  Peide Liu,et al.  Multiple attribute group decision making method based on interval-valued intuitionistic fuzzy power Heronian aggregation operators , 2017, Comput. Ind. Eng..

[46]  Bin Liang,et al.  Developing a rough set based approach for group decision making based on determining weights of decision makers with interval numbers , 2018, Oper. Res..

[47]  Marcello Braglia,et al.  A fuzzy multi-criteria approach for critical path definition , 2009 .

[48]  Zeshui Xu,et al.  Pythagorean fuzzy TODIM approach to multi-criteria decision making , 2016, Appl. Soft Comput..

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

[50]  Ting-Yu Chen,et al.  Remoteness index-based Pythagorean fuzzy VIKOR methods with a generalized distance measure for multiple criteria decision analysis , 2018, Inf. Fusion.

[51]  İhsan Kaya,et al.  Prioritization of renewable energy alternatives by using an integrated fuzzy MCDM model: A real case application for Turkey , 2017 .

[52]  Ferhat Yarkin,et al.  Solid waste collection system selection for smart cities based on a type-2 fuzzy multi-criteria decision technique , 2018, Soft Computing.

[53]  S. Elizabeth,et al.  FUZZY CRITICAL PATH PROBLEM FOR PROJECT NETWORK , 2013 .

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