By Jie Lu; Guangquan Zhang; Da Ruan
This publication proposes a suite of types to explain fuzzy multi-objective choice making (MODM), fuzzy multi-criteria choice making (MCDM), fuzzy crew selection making (GDM) and fuzzy multi-objective staff decision-making difficulties, respectively. It additionally supplies a collection of similar tools (including algorithms) to resolve those difficulties. One distinguishing characteristic of this e-book is that it presents selection help structures software program for readers to use those proposed equipment. a suite of real-world purposes and a few new instructions during this sector are then defined to extra show readers how you can use those tools and software program of their perform.
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Additional info for Multi-objective Group Decision Making: Methods, Software and Applications With Fuzzy Set Techniques
But obviously this method is slow and sometimes, group members may feel resentful at having their ideas voted as unpopular. • Ranking rule Several similar ranking methods have been used in practice and all assume the group has a number of alternatives. One is to let group members individually give a score to each alternative. Suppose the group has five alternatives, each member ranks each alternative from 1 (lowest) to 10 (highest). The votes are then calculated and the alternative with the highest total score is selected.
Although it may be too expensive for all group members to have complete information for their decision tasks, information sharing is the most important element to improve the quality of group decision. Another related issue is about bargaining and negotiation in group decision process. A decision group should be negotiable in order to achieve a consensus-based solution. When a common decision fails, it becomes necessary for group members to start bargaining or negotiating until a consensus is reached.
The key idea behind GP is to minimise the deviations from goals or aspiration levels set by decision makers. GP therefore, in most cases, seems to yield a satisfactory solution rather than an optimisation one. By introducing the auxiliary variables, the Linear GP (LGP) problem can be converted to an equivalent linear programming problem. The third class, interactive methods, requires more decision makers involvement in the solution process. The interaction takes place through decision makers-computer interface at the each iteration.