Custom milled iron set

1. A method for constructing one or more golf clubs comprising the steps of:

a. capturing input data measuring values for a plurality of input parameters corresponding to a golfer's performance needs, the plurality of input parameters comprising club head speed, ball speed, launch angle, backspin, spin rate, effective loft, face angle, and the normal and tangential components of the force vector;

b. drawing inferences about golf club design parameters from said plurality of input parameters, where the inferences are made by a processor programmed to use a fuzzy logic algorithm comprising the steps of:

i. providing one or more membership functions to transform input data into antecedent variables belonging to fuzzy sets;

ii. applying fuzzy rules to the fuzzy sets by steps comprising:

1. assigning a relative weight to each antecedent variable;

2. applying a logical operator between the different antecedent variables of each rule;

3. implying the consequent variable for each rule;

4. aggregating all consequent variables; and

5. wherein the fuzzy rule is either a single-input-single-output rule, a multiple-input-single-output rule, or a multiple-input-multiple-output rule, and

iii. defuzzifying the consequent variables into crisp variables;

c. developing one or more computer models based on the inferences about one or more golf club design parameters; and

d. operating a machine configured to fabricate one or more golf club heads according to the one or more computer models.

2. The method of claim 1 , wherein the input data in step a) is captured by one or more data collection systems comprising at least one of an interview or questionnaire, a system for collecting basic dynamic fit measurements, and one or more dynamic data capturing systems.

3. The method of claim 2 , wherein the one or more dynamic data capturing systems comprise at least one of a club/ball launch monitor, an impact analysis system, a shaft load analysis system, and a light and reflective dot technology system.

4. The method of claim 1 , wherein the plurality of input parameters further comprises at least one of tempo, club path, angle of attack, rotational speed, ball speed standard deviation, efficiency, departure angle, lie angle, club length, grip size, shaft type, a golfer's handicap, an assessment of golfer's strengths and weaknesses, preference for ball height during a typical ball flight, preference for ball curvature during a typical ball flight, typical conditions on fairways, typical conditions on greens, quantity of bunkers, type of bunkers, frequency of wind, strength of wind, knuckle to ground height, distance hit, glove size, jacket size, golfer's height, golfer's physical limitations on swing, profile preference, offset preference, swing attack angle, head design preference, top line width preference, crown radius preference, spin/groove preference, and finish preference.

5. The method of claim 1 , wherein the inferred golf club design parameters comprise at least one of club style, offset, profile, top line width, finish, scoreline, loft, sole width, sole camber/leading edge radius, bounce angle, and lie angle.

6. The method of claim 1 , wherein the fuzzy logic algorithm is used to infer club style from values for a golfer's handicap, height preference for ball flight, club style preference, ball speed, and ball speed standard deviation.

7. The method of claim 1 , wherein the fuzzy logic algorithm is used to infer offset from values for height preference for ball flight, shape preference for ball flight, offset preference, departure angle/sidespin, path angle, and face angle.

8. The method of claim 1 , wherein the fuzzy logic algorithm is used to infer profile from a golfer's profile preference.

9. The method of claim 1 , wherein the fuzzy logic algorithm is used to infer top line width from values for a golfer's handicap, top line width preference, and ball speed standard deviation.

10. The method of claim 1 , wherein the fuzzy logic algorithm is used to infer finish from a golfer's finish preference.

11. The method of claim 1 , wherein the fuzzy logic algorithm is used to infer scoreline from values for a golfer's handicap, height preference for ball flight, shape preference for ball flight, data about the conditions of fairways, ball speed, launch angle, ball speed standard deviation, departure angle/sidespin, and backspin.

12. The method of claim 1 , wherein the fuzzy logic algorithm is used to infer loft from values for a golfer's handicap, height preference for ball flight, ball speed, launch angle, backspin, angle of attack, and effective loft.

13. The method of claim 1 , wherein the fuzzy logic algorithm is used to infer sole width from values for a golfer's handicap, height preference for ball flight, club style preference, launch angle, ball speed standard deviation, and angle of attack.

14. The method of claim 1 , wherein the fuzzy logic algorithm is used to infer sole camber/leading edge radius from values for a golfer's handicap, ball speed standard deviation, angle of attack, and impact position/effective loft.

15. The method of claim 1 , wherein a the fuzzy logic algorithm is used to infer bounce angle from values for a golfer's handicap, height preference for ball flight, data about the conditions of fairways, launch angle, and, angle of attack.

16. The method of claim 1 , wherein the fuzzy logic algorithm is used to infer lie angle from values for knuckle to ground height, impact position/effective loft, and sole contact.

17. The method of claim 1 , wherein step c) comprises developing one or more new computer aided design models.

18. The method of claim 1 , wherein step c) comprises developing one or more best-fitted computer aided design models.

19. The method of claim 1 , wherein between step c) and step d), a program is generated for operating the machine.

20. The method of claim 1 , wherein step d) comprises operating a machine that is either a computer numerically controlled (CNC) milling machine, or a rapid prototype machine.