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A fuzzy multi-criteria decision-making approach for robot selection
12 references·16 citing·32 second hop
A fuzzy multi-criteria decision-making approach for robot selection (1993)A fuzzy multi-criteria decision-making ap…Ranking fuzzy numbers with index of optimism (1990)Ranking fuzzy numbers with in…A subjective approach for ranking fuzzy numbers (1989)A subjective approach for ran…Ranking fuzzy numbers with maximizing set and minimizing set (1985)Ranking fuzzy numbers with ma…Ranking alternatives using fuzzy numbers (1985)Ranking alternatives using fu…Fuzzy hierarchical analysis (1985)Fuzzy hierarchical analysisA review of some methods for ranking fuzzy subsets (1985)A review of some methods for …The multiple judge, multiple criteria ranking problem: A fuzzy set approach (1984)The multiple judge, multiple …A fuzzy extension of Saaty's priority theory (1983)A fuzzy extension of Saaty's …A procedure for multiple-aspect decision making using fuzzy sets (1977)A procedure for multiple-aspe…Decisionmaking in the Presence of Fuzzy Variables (1976)Decisionmaking in the Presenc…The concept of a linguistic variable and its application to approximate reasoning—II (1975)The concept of a linguistic v…Fuzzy sets (1965)Fuzzy setsA Multi-Criteria Group Decision-Making Approach for Robot Selection Using Interval-Valued Intuitionistic Fuzzy Information and Aczel-Alsina Bonferroni Means (2024)A Multi-Criteria Group Decisi…Hybrid BW-EDAS MCDM methodology for optimal industrial robot selection (2021)Hybrid BW-EDAS MCDM methodolo…A comprehensive MCDM-based approach using TOPSIS and EDAS as an auxiliary tool for pyrolysis material selection and its application (2020)A comprehensive MCDM-based ap…An integrated linguistic MCDM approach for robot evaluation and selection with incomplete weight information (2016)An integrated linguistic MCDM…Robot selection by using generalized interval-valued fuzzy numbers with TOPSIS (2014)Robot selection by using gene…Robot selection by a multiple criteria complex proportional assessment method under an interval-valued fuzzy environment (2014)Robot selection by a multiple…An integrated fuzzy MCDM based approach for robot selection considering objective and subjective criteria (2014)An integrated fuzzy MCDM base…An interval 2-tuple linguistic MCDM method for robot evaluation and selection (2013)An interval 2-tuple linguisti…Soft computing based on new interval-valued fuzzy modified multi-criteria decision-making method (2012)Soft computing based on new i…Developing a practical framework for assessing ERP post-implementation success using fuzzy analytic network process (2012)Developing a practical framew…Industrial robot selection using a novel decision making method considering objective and subjective preferences (2011)Industrial robot selection us…A fuzzy digraph method for robot evaluation and selection (2011)A fuzzy digraph method for ro…Optimal selection of robots by using distance based approach method (2010)Optimal selection of robots b…Robot selection using an integrated approach based on quality function deployment and fuzzy regression (2006)Robot selection using an inte…Application and Development of a Fuzzy Analytic Hierarchy Process within a Capital Investment Study (2005)Application and Development o…From Traditional Purchasing to Supplier Management: A Fuzzy Logic-based Approach to Supplier Selection (2002)From Traditional Purchasing t…Decision-making with a fuzzy preference relation (1978)Advances in Fuzzy Set Theory and Applications (1980)The Analytic Hierarchy Process (1985)Development and evaluation of five fuzzy multiattribute decision-making methods (1996)A fuzzy-QFD approach to supplier selection (2006)A Survey on Multi Criteria Decision Making Methods and Its Applications (2013)Fuzzy Sets and Systems - Theory and Applications (1980)A fuzzy multi-criteria decision-making method for facility site selection (1991)Personnel selection using fuzzy MCDM algorithm (1994)The role of fuzzy sets in decision sciences: Old techniques and new directions (2011)A scaling method for priorities in hierarchical structures (1977)Extensions of the TOPSIS for group decision-making under fuzzy environment (2000)A fuzzy approach for supplier evaluation and selection in supply chain management (2005)L-fuzzy sets (1967)Vagueness, truth and logic (1975)Forecasting enrollments with fuzzy time series — Part I (1993)A 2-tuple fuzzy linguistic representation model for computing with words (2000)Hesitant Fuzzy Linguistic Term Sets for Decision Making (2011)Ranking fuzzy numbers with an area between the centroid point and original point (2002)A new approach for ranking of trapezoidal fuzzy numbers (2008)Handling multicriteria fuzzy decision-making problems based on vague set theory (1994)Multi‐criteria supplier selection using fuzzy AHP (2003)Global supplier development considering risk factors using fuzzy extended AHP-based approach (2005)Reasonable properties for the ordering of fuzzy quantities (II) (2001)Deriving priorities from fuzzy pairwise comparison judgements (2003)Comparison of fuzzy sets on the same decision space (1979)The revised method of ranking fuzzy numbers with an area between the centroid and original points (2007)A new approach for ranking fuzzy numbers by distance method (1998)An overview of operators for aggregating information (2003)Family resemblances: Studies in the internal structure of categories (1975)Basic objects in natural categories (1976)Soft set theory—First results (1999)
this work references cited by second hop

References

  • 1965Fuzzy sets67,827 cited
  • 1985Fuzzy hierarchical analysis3,443 cited
  • 1983A fuzzy extension of Saaty's priority theory3,046 cited
  • 1975The concept of a linguistic variable and its application to approximate reasoning—II2,554 cited
  • 1985A review of some methods for ranking fuzzy subsets939 cited
  • 1985Ranking fuzzy numbers with maximizing set and minimizing set873 cited
  • 1985Ranking alternatives using fuzzy numbers522 cited
  • 1976Decisionmaking in the Presence of Fuzzy Variables508 cited
  • 1989A subjective approach for ranking fuzzy numbers327 cited
  • 1977A procedure for multiple-aspect decision making using fuzzy sets286 cited
  • 1990Ranking fuzzy numbers with index of optimism251 cited
  • 1984The multiple judge, multiple criteria ranking problem: A fuzzy set approach149 cited

Cited by

  • 2011Industrial robot selection using a novel decision making method considering objective and subjective preferences131 cited
  • 2014An integrated fuzzy MCDM based approach for robot selection considering objective and subjective criteria128 cited
  • 2002From Traditional Purchasing to Supplier Management: A Fuzzy Logic-based Approach to Supplier Selection

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118 cited
  • 2024A Multi-Criteria Group Decision-Making Approach for Robot Selection Using Interval-Valued Intuitionistic Fuzzy Information and Aczel-Alsina Bonferroni Means116 cited
  • 2005Application and Development of a Fuzzy Analytic Hierarchy Process within a Capital Investment Study114 cited
  • 2013An interval 2-tuple linguistic MCDM method for robot evaluation and selection101 cited
  • 2010Optimal selection of robots by using distance based approach method99 cited
  • 2014Robot selection by using generalized interval-valued fuzzy numbers with TOPSIS95 cited
  • 2020A comprehensive MCDM-based approach using TOPSIS and EDAS as an auxiliary tool for pyrolysis material selection and its application93 cited
  • 2021Hybrid BW-EDAS MCDM methodology for optimal industrial robot selection87 cited
  • 2012Soft computing based on new interval-valued fuzzy modified multi-criteria decision-making method86 cited
  • 2006Robot selection using an integrated approach based on quality function deployment and fuzzy regression86 cited
  • 2012Developing a practical framework for assessing ERP post-implementation success using fuzzy analytic network process71 cited
  • 2014Robot selection by a multiple criteria complex proportional assessment method under an interval-valued fuzzy environment71 cited
  • 2011A fuzzy digraph method for robot evaluation and selection71 cited
  • 2016An integrated linguistic MCDM approach for robot evaluation and selection with incomplete weight information68 cited