Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods presents the concepts and details of applications of MADM methods. A range of methods are covered including Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), VIšekriterijumsko KOmpromisno Rangiranje (VIKOR), Data Envelopment Analysis (DEA), Preference Ranking METHod for Enrichment Evaluations (PROMETHEE), ELimination Et Choix Traduisant la Realité (ELECTRE), COmplex PRoportional ASsessment (COPRAS), Grey Relational Analysis (GRA), UTility Additive (UTA), and Ordered Weighted Averaging (OWA). The existing MADM methods are improved upon and three novel multiple attribute decision making methods for solving the decision making problems of the manufacturing environment are proposed. The concept of integrated weights is introduced in the proposed subjective and objective integrated weights (SOIW) method and the weighted Euclidean distance based approach (WEDBA) to consider both the decision maker’s subjective preferences as well as the distribution of the attributes data of the decision matrix. These methods, which use fuzzy logic to convert the qualitative attributes into the quantitative attributes, are supported by various real-world application examples. Also, computer codes for AHP, TOPSIS, DEA, PROMETHEE, ELECTRE, COPRAS, and SOIW methods are included. This comprehensive coverage makes Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods a key reference for the designers, manufacturing engineers, practitioners, managers, institutes involved in both design and manufacturing related projects. It is also an ideal study resource for applied research workers, academicians, and students in mechanical and industrial engineering.

References in zbMATH (referenced in 68 articles , 1 standard article )

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  1. Bhattacharjee, Kalyan Shankar; Singh, Hemant Kumar; Ray, Tapabrata: An approach to generate comprehensive piecewise linear interpolation of Pareto outcomes to aid decision making (2017)
  2. Rajak, Anup Kumar; Niraj, Malay; Kumar, Shalendra: Designing of fuzzy expert heuristic models with cost management toward coordinating AHP, fuzzy TOPSIS and FIS approaches (2016)
  3. Wang, Ting; Bi, Wenjian; Zhao, Yanlong; Xue, Wenchao: Radar target recognition algorithm based on RCS observation sequence -- set-valued identification method (2016)
  4. Fang, Lei; Li, Hecheng: Multi-criteria decision analysis for efficient location-allocation problem combining DEA and goal programming (2015)
  5. Lu, Xi; Mo, Hongming; Deng, Yong: An evidential opinion dynamics model based on heterogeneous social influential power (2015)
  6. Shyur, Huan-jyh; Yin, Liang; Shih, Hsu-shih; Cheng, Chi-bin: A multiple criteria decision making method based on relative value distances (2015)
  7. Turcanu, Catrinel; Mkrtchyan, Lusine; Nagy, Ahmed; Faure, Pierre: Can belief structures improve our understanding of safety climate survey data? (2015)
  8. Deng, Xinyang; Deng, Yong; Chan, Felix T.S.: An improved operator of combination with adapted conflict (2014)
  9. Kou, Gang; Ergu, Daji; Shi, Yu: An integrated expert system for fast disaster assessment (2014)
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  11. Chen, Yu-Wang; Yang, Jian-Bo; Xu, Dong-Ling; Yang, Shan-Lin: On the inference and approximation properties of belief rule based systems (2013)
  12. Rao, Ravipudi Venkata: Decision making in manufacturing environtment using graph theory and fuzzy multiple attribute decision making methods. Volume 2 (2013)
  13. Xi, Junqiang; Chen, Yongdan: Research on conflict decision between shift schedule and multienergy management for PHEV with automatic mechanical transmission under special driving cycles (2013) ioport
  14. Yang, Jian-Bo; Xu, Dong-Ling: Evidential reasoning rule for evidence combination (2013)
  15. Agell, Núria; Sánchez, Mónica; Prats, Francesc; Roselló, Llorenç: Ranking multi-attribute alternatives on the basis of linguistic labels in group decisions (2012) ioport
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  18. Tao, Lili; Chen, Yan; Liu, Xiaodong; Wang, Xin: An integrated multiple criteria decision making model applying axiomatic fuzzy set theory (2012)
  19. Wang, Xiaodong; Liu, F.; Jiao, L.C.; Zhou, Zhiguo; Yu, Jingjing; Li, Bing; Chen, Jianrui; Wu, Jiao; Shang, Fanhua: An evidential reasoning based classification algorithm and its application for face recognition with class noise (2012) ioport
  20. Xu, Dong-Ling: An introduction and survey of the evidential reasoning approach for multiple criteria decision analysis (2012)

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