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Tellabs Inc. v. Makor Issues & Rights, 551 U.S. 308 (2007), was a United States Supreme Court case in which the Court ruled on the interpretation of the Private Securities Litigation Reform Act of 1995's requirement of scienter in a civil action in apply to Tellabs and Makor Issues & Rights. [1]
Tellabs, Inc. is a global network technology company that provides networking and communications solutions to both private and governmental agencies. [2] The company offers a range of products and services, including optical transport systems, access systems, managed access solutions, and network management software.
The United States Supreme Court issued a decision that clarified what was to be understood as a "strong inference." In Tellabs, Inc. v. Makor Issues & Rights, LTD (21 June 2007) , an 8–1 ruling of the Court defined the standard that the plaintiff had to meet to proceed with a securities fraud litigation.
The invalidation of a Department of Veterans Affairs regulation after a veteran’s benefits decision becomes final cannot support a claim for collateral relief permitting revision of that decision based on “clear and unmistakable error” under 38 U.S.C. §§5109A and 7111. Arizona v. City and County of San Francisco: 20-1775: 2022-6-15
It has unique advantages when important elements of the decision are difficult to quantify or compare, or where collaboration among departments or team members are constrained by their different specializations or perspectives. Decision situations to which the Promethee and Gaia can be applied include:
Thus most DM software is based on decision analysis, usually multi-criteria decision-making, and so is often referred to as "decision analysis" [5] [6] or "multi-criteria decision-making" [4] software – commonly shortened to "decision-making software". Some decision support systems include a DM software component.
In this example a company should prefer product B's risk and payoffs under realistic risk preference coefficients. Multiple-criteria decision-making (MCDM) or multiple-criteria decision analysis (MCDA) is a sub-discipline of operations research that explicitly evaluates multiple conflicting criteria in decision making (both in daily life and in settings such as business, government and medicine).
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