Harmonizing the Omnipresence of MCDM in Technology, Society, and Policy

This paper presents historical perspectives on the evolution of the field and discipline of Multiple Criteria Decision Making (MCDM), followed by recognizing MCDM as a philosophy that inspired the development of theory, methodology, and practice of the art and science of MCDM. Except for a brief epilogue, the balance of the paper presents the following Ten Principles for the practice of MCDM: First Principle: MCDM as a harmonizing discipline in science, technology, society, and policy must be holistic; Second Principle: a common denominator bridges risk analysis and MCDM; Third Principle: models and state variables are central to MCDM; Fourth Principle: MCDM must account for risk of low probability with extreme consequences; Fifth Principle: MCDM must account for knowledge uncertainty and variability uncertainty; Sixth Principle: MCDM must account for emergent forced changes; Seventh Principle: multiple models are required to represent the multiple perspectives of a system; Eighth Principle: the imperativeness of selecting representative objectives and the time domain in MCDM; Ninth Principle: the MCDM process must be holistic, adaptive, incremental, and sustainable; and the Tenth Principle: Phantom System Models are required for the effective practice of MCDM, while building on and adhering to all nine principles.

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