MADM

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 93 articles , 1 standard article )

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  1. Carli, Raffaele; Dotoli, Mariagrazia; Pellegrino, Roberta: A decision-making tool for energy efficiency optimization of street lighting (2018)
  2. Joshi, Dheeraj Kumar; Beg, Ismat; Kumar, Sanjay: Hesitant probabilistic fuzzy linguistic sets with applications in multi-criteria group decision making problems (2018)
  3. Liern, V.; Pérez-Gladish, B.: Ranking corporate sustainability: a flexible multidimensional approach based on linguistic variables (2018)
  4. Zhang, L. P.; Zhou, P.: A non-compensatory composite indicator approach to assessing low-carbon performance (2018)
  5. Bhattacharjee, Kalyan Shankar; Singh, Hemant Kumar; Ray, Tapabrata: An approach to generate comprehensive piecewise linear interpolation of Pareto outcomes to aid decision making (2017)
  6. Falke, Andreas; Hruschka, Harald: A Monte Carlo study of design-generating algorithms for the latent class mixed logit model (2017)
  7. Gitinavard, H.; Mousavi, S. M.; Vahdani, B.: Soft computing-based new interval-valued hesitant fuzzy multi-criteria group assessment method with last aggregation to industrial decision problems (2017)
  8. Guo, Wen-Tao; Huynh, Van-Nam; Sriboonchitta, Songsak: A proportional linguistic distribution based model for multiple attribute decision making under linguistic uncertainty (2017)
  9. Kuo, Ting: A modified TOPSIS with a different ranking index (2017)
  10. Mirzazadeh, Abolfazl; Moslemi, Shiva: Performance evaluation of four-stage blood supply chain with feedback variables using NDEA cross-efficiency and entropy measures under IER uncertainty (2017)
  11. Mohammadi, Seyed Erfan; Makui, Ahmad: Multi-attribute group decision making approach based on interval-valued intuitionistic fuzzy sets and evidential reasoning methodology (2017)
  12. Walczak, Dariusz; Rutkowska, Aleksandra: Project rankings for participatory budget based on the fuzzy TOPSIS method (2017)
  13. Zhao, Hua; Xu, Zeshui; Wang, Hai; Liu, Shousheng: Hesitant fuzzy multi-attribute decision-making based on the minimum deviation method (2017)
  14. Chen, Zhen-Song; Chin, Kwai-Sang; Ding, Heng; Li, Yan-Lai: Triangular intuitionistic fuzzy random decision making based on combination of parametric estimation, score functions, and prospect theory (2016)
  15. He, Yingdong; Chen, Huayou; He, Zhen; Wang, Guodong; Zhou, Ligang: Scaled prioritized aggregation operators and their applications to decision making (2016)
  16. 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)
  17. Wang, Ting; Bi, Wenjian; Zhao, Yanlong; Xue, Wenchao: Radar target recognition algorithm based on RCS observation sequence -- set-valued identification method (2016)
  18. Xu, Xuanhua; Wang, Bing; Zhou, Yanju: A method based on trust model for large group decision-making with incomplete preference information (2016)
  19. Fang, Lei; Li, Hecheng: Multi-criteria decision analysis for efficient location-allocation problem combining DEA and goal programming (2015)
  20. Lu, Xi; Mo, Hongming; Deng, Yong: An evidential opinion dynamics model based on heterogeneous social influential power (2015)

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