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Employees on Leave It is generally legal to exclude inactive employees from exit incentive programs, according to Lipsig That said, it is important to be cautious about excluding employees who are on certain legally mandated or protected leaves, such as under the Family and Medical Leave Act of 1993 (FMLA), the Americans with Disabilities Act of 1990 (ADA), and the Uniformed Services Employment and Reemployment Rights Act (USERRA), which was signed into law in 1994 and significantly updated in 1996 and 1998 Generally, if employees on FMLA leave would have been eligible for an exit incentive program had they been at work, they are also eligible while on FMLA leave, says Lipsig He notes, though, that this seems to contradict the intent of the statute, which requires that health benefits continue during leave but does not address continuation of other employee benefits during FMLA leave.

Successful inpatient treatment requires contributions from a number of professional disciplines, who need to work closely together as an integrated team. Nursing patients with anorexia nervosa requires a high level of skill and is most likely to be effective when carried out by a nursing team with experience and training in this area. It is important that nursing staff have an understanding of the complex and ambivalent feelings which patients have about gaining weight and the way in which these re ect fears of psychological change (George, 1997). Nurses need to strike a dif cult balance between rmness and sensitivity; this requires an ability to understand the patient s dilemmas and must be based on a rm therapeutic alliance. Developing this alliance is one of the crucial tasks in nursing eating disordered patients. Patients are likely to respond badly to staff whom they perceive as rigid and authoritarian, but at the same time are unlikely to feel safe unless those caring for them are able to set clear and appropriate boundaries. The patient s perception of staff is likely

To avoid a run-in with the ADA with regard to exit incentive programs, Lipsig recommends a standard policy of providing exit incentives only to active payroll employees or those on FMLA leave This should not violate the ADA, he states, because the criteria for qualification are not related to disability USERRA is intended to minimize the disadvantages to employees when they must be absent from their jobs to serve in the US uniformed services In most cases, employers are required to reinstate employees after military leaves of absence Employers are excused from this requirement, however, when their circumstances have so changed that reemployment is impossible or unreasonable Therefore, in a downsizing initiative in which the motivating factor for selecting an employee is not his or her military status, employers are unlikely to run afoul of USERRA for failing to include employees on military leave in exit incentive programs.

Reducing the Number of Fuzzy Rules Consider f21 as an example Let the threshold be Z 0:5 For the rule r2 : IF Attr 2 PS AND Attr 3 NS THEN Attr 4 NS , the degree of membership of Attr 2 to PS is 08 and Attr 3 to NS is 05 Since all the membership values are greater than or equal to the threshold Z 0:5 ; r2 covers f21 [equation (58)] Similarly, one can check if there are other rules that can cover f21 Finally, it is only r2 that is found to cover f21 ; that is, R2 fr2 g Similarly, we have R1 fr1 g; R3 fr3 g; R4 fr4 g; and R5 fr5 g Here each discrepancy vector is seen to be covered only by its corresponding rule.

If, however, an eligible person returns from military or other qualified leave during the exit incentive window period, he or she should be permitted to participate in the program..

Therefore, all these rules are selected as the adaptation rules of e1 for covering all the vectors fi1 i 1; 2; ; 5 and R fr1 ;r2 ;r3 ;r4 ;r5 g In the example above, since all the rules are retained, the various steps involved in reducing the number of rules could not be shown To illustrate these steps, we give another example Let us consider a situation where a discrepancy vector is covered only by its corresponding rule or several other rules, such as R1 fr1 g; R2 fr2 ;r3 g; R3 fr2 ;r3 ;r4 g; R4 fr4 g, and R5 fr3 ;r5 g Here the number of occurrences of the rules ri i 1; 2; ; 5 in are 1, 2, 3, 1, and 1, respectively.