VOLUME 12 NUMBER 2 (July to December 2019)

by Jasmin D. Niguidula¹,
Jonathan M. Caballero², and
Jose B. Cruz, Jr.*^3,4,5

¹Information Systems Program,
     College of Information Technology Education,
     Technological Institute of the Philippines,
     1338 Arlegui Street, Quiapo, Manila, Philippines
²Computer Science Program,
     College of Information Technology Education,
     Technological Institute of the Philippines,
     1338 Arlegui Street, Quiapo, Manila, Philippines
³Professor Emeritus,
     Department of Electrial and Computer Engineering,
     College of Engineering, Ohio State University,
     205 Dreese Laboratory, Columbus, Ohio 43210
⁴Professor Emeritus,
     Department of Electrial and Computer Engineering,
     Grainger College of Engineering,
     University of Illinois at Urbana-Champaign
     1406 W. Green St. Urbana, Illinois 61801-3028
⁵Professor Emeritus,
     Department of Electrial Engineering and Computer Science,
     Samueli School of Engineering,
     University of California, Irvine, CA 92697-2700

Using a widely known Weighted Sum Method (WSM) for choosing an information system (IS) from a finite set of candidate multi-attribute information systems to be deployed in an information systems environment, this paper demonstrates that the selected Pareto-optimal IS remains the same provided that the weights remain inside a specified subspace of the weight space. Three cases of IS Environments are discussed and analyzed. The invariance properties hold for other information systems environments if there is a finite number of candidate information systems to be deployed in an IS environment. There is no previous literature describing invariance of the selected Pareto-optimal multi-attribute information system, when weights are inside a designated subspace of the weight space.