Cognizant enterprise maturity model (CEMM)

Presents the cognizant enterprise maturity model (CEMM). The model provides tripartite usage of calibration, capability assessment and maturity advancement. The entry point is an organizational and departmental profiler that provides relevance measures based on fuzzy multicriteria group decision-making capabilities to key maturity areas (KMAs) identified for the five-level maturity model. These relevance measures allow organizations to weigh and score the KMAs and to nurture the model based on their own experience and on industry experience. Each KMA comes with a set of goals and abilities. CEMM relies on four criteria: (1) cognizant environments, (2) knowledge utilization and leverage, (3) the SEI's software CMM (capability maturity model) and people CMM, and (4) an adaptive enterprise, and it distinguishes between information and knowledge management (KM)     

Multicriteria multigoal decision making - the fuzzy paradigm

In real life, the imprecise and subjective nature of information makes decision making rather complex and incosistent. This paper presents a Fuzzy Decision Support Expert System that enables more efficient and consistant decision making. The linguistic thought process of the decision maker are qualified and quantified using fuzzy logic and approximate reasoning. The system integrates multicriteria decision rules and various measures of decision factors to make the inference. The mechanism of this system is illustrated by addressing the Aggregate Production Planning Problem. Holt's[1] HMMS Paint Factory data is used with the rule base proposed by Rinks[2]. Comparison of results with Rinks and Turksen[3] shows that the proposed system can be used successfully to generate a near-optimum solution. The capability of the system in handling diverse problem domains that require group decision making with imprecise and incomplete information in a multigoal environment is also discussed.