Fuzzy logic has difficulty producing valid answers in decision-making. Absent are theorems to prove that it works to produce results already known that are being estimated with judgments by transforming such judgments...Fuzzy logic has difficulty producing valid answers in decision-making. Absent are theorems to prove that it works to produce results already known that are being estimated with judgments by transforming such judgments numerically. The numerical representation of judgments in the AHP is already fuzzy. Making fuzzy judgments more fuzzy does not lead to a better more valid outcome and it often leads to a worse one. The compatibility index of the AHP is used to illustrate how the answers obtained by fuzzifying AHP judgments do not produce better results than direct derivation of the principal eigenvector. Other authors who did experiments with given data in decision making quoted in the conclusions section of the paper, have observed that fuzzy sets gives the poorest answers among all methods used to derive best decisions.展开更多
In contrast with conscious decision-making, there are numerous subconscious decisions that we make without thinking about them. Some are biological and are made by different parts of our body to keep it alive and fu...In contrast with conscious decision-making, there are numerous subconscious decisions that we make without thinking about them. Some are biological and are made by different parts of our body to keep it alive and functioning normally. Others are a result of repetition and training that we can then do without thinking about them. The mathematics of conscious decisions with the Analytic Hierarchy and Network Processes is discrete, and has been discussed in the first three parts published on the subject. The mathematics of subconscious decisions is continuous. Here, we generalize the discrete mathematics of conscious decisions to the continuous case and develop it in some depth to apply to the synthesis of firings in the brain.展开更多
文摘Fuzzy logic has difficulty producing valid answers in decision-making. Absent are theorems to prove that it works to produce results already known that are being estimated with judgments by transforming such judgments numerically. The numerical representation of judgments in the AHP is already fuzzy. Making fuzzy judgments more fuzzy does not lead to a better more valid outcome and it often leads to a worse one. The compatibility index of the AHP is used to illustrate how the answers obtained by fuzzifying AHP judgments do not produce better results than direct derivation of the principal eigenvector. Other authors who did experiments with given data in decision making quoted in the conclusions section of the paper, have observed that fuzzy sets gives the poorest answers among all methods used to derive best decisions.
文摘In contrast with conscious decision-making, there are numerous subconscious decisions that we make without thinking about them. Some are biological and are made by different parts of our body to keep it alive and functioning normally. Others are a result of repetition and training that we can then do without thinking about them. The mathematics of conscious decisions with the Analytic Hierarchy and Network Processes is discrete, and has been discussed in the first three parts published on the subject. The mathematics of subconscious decisions is continuous. Here, we generalize the discrete mathematics of conscious decisions to the continuous case and develop it in some depth to apply to the synthesis of firings in the brain.
