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fuzzy number (not necessarily convex) de ned on the real line. We then use one of the methods available (most often the centroid method) to derive a value for y. While the notation of rule (15.9) is quite compact, it is quite in exible, and not really useful for general-purpose fuzzy reasoning. In FLOPS, for exibility and clarity we break out fuzzi cation and defuzzi cation as separate consequent operations. We also refer speci cally to the names of input and output linguistic variables (discrete fuzzy sets). The complete FLOPS code for such a control rule might be :-----------------------------------------------------:Data declarations declare Data x1 t x2 t y t size fzset (Small Medium Large) speed fzset (Slow Medium Fast) output fzset (Negative Zero Positive; :-----------------------------------------------------:De ne membership functions memfunct Data size linear Small.....; :-----------------------------------------------------:Fuzzify inputs rule block 1 (goal Fuzzify inputs) IF (in Data x1 = <X1> AND x2 = , X2) THEN fuzzify 1 size <X1>, fuzzify 1 speed <X2>, re block 1 off, re block 2 on; :-----------------------------------------------------:Fuzzy inference rule block 2 (goal Rules to get output fuzzy sets from input fuzzy sets) IF (in Data size is Small AND speed is Slow) THEN in 1 output is Positive, re block 2 off, re block 3 on; :-----------------------------------------------------:Defuzzi cation to get output

During the rst half of 1997 this report consumed almost all the energy of the Forum and all the working groups contributed to it The report covers a wide range of topics: vision, market, technology, business structure, economy, spectrum and regulation The work was carried out under great pressure and also some nervousness There was a strong desire to meet the expectations of the European Commission, but those expectations were not fully understood and the schedule of the EU kept changing all the time Sometimes the Commission pushed for an interim report to be produced in a couple of days, only to come back the day after, stating that the schedule had been changed The situation was sometimes rather frustrating In any case, at the end of the day, in June 1997 the report was nalised and published.

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Algorithm A1 is a 3-approximation algorithm for the WA problem on TR of arbitrary degree. The 3L upper bound is tight. Below is an example that requires at least 3L colors [6]. Let P = A B C D E F be the set of paths, with each subset having L/2 (L is even) paths, as shown in Figure 18.10. The maximum number of paths on any link in the tree of rings is L. The con ict graph GP is a complete graph of 3L nodes and thus any coloring of P requires at least 3L colors. 18.4.5.2 WA Problem on TR of Degree 6 Algorithm A2 for the WA problem on TR of degree at most 6 follows the framework of Figure 18.9 too. In Algorithm A1, to apply the edge coloring of Gu in Step 3.2, it is required that Q0 P0 has been assigned distinct colors. This requirement may be too strict for solving the WA problem on TR since two paths in Q0 P0 can have the same color if they are edge disjoint. In Algorithm A2, instead of using edge-coloring approach for Step 3.2, a different path-coloring scheme that is designed speci cally for TR of degree 6 is used. Recall that P0 and P1 are the sets of paths to be colored in Step 3.1 and Step

Browsing trough Report 1 today it must be admitted that it is rather general All the content is trivial knowledge today, but it was not at the time it was written It must also be borne in mind that the strength of this document rather than the degree of inventive thinking was the fact that it did represent the consensus view of the entire industry Of course, to achieve this the Forum sometimes had to make compromises To understand how this worked it must also be recalled that the Forum unlike most other industry constellations did not have any area where it had a decisive power of its own It was a pressure group trying to play the role of a glue between different kinds of activities It touched the domains of other bodies, but without having the nal say on anything.

69.50 67.11 64.46 36.92 36.07 35.20 34.80 31.21 30.71 27.96 18.89 16.53 16.09 15.25 9.50 8.09 4.96 3.74

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