A Hybrid Approach for Selecting Optimal COTS Products

COTS products selection using fuzzy chance-constrained multiobjective programming

“…The existing COTS products selection models under a fuzzy environment, for example, Bali et al [1], Gupta et al [8], Gupta et al [10], Jha et al [14] and Mehlawat and Gupta [25], are based on minimizing the distance from the PIS with respect to each goal or criterion; however, in real-world applications, it is desirable to consider deviations from both PIS and NIS for better decision making. This is the motivation to study the multiobjective COTS products selection problem using an approach that is based on a compromising principle whereby we not only minimize the distance from PIS but also maximize the distance from NIS.…”

“…Additionally, most of the parameters embedded in the COTS products selection problem are frequently vague/uncertain in nature because of the incompleteness or unavailability of required data over the planning horizon, and thus, these parameters can only be obtained subjectively. This motivate us to use fuzzy model parameters rather than the crisp model parameters used for COTS selection in the existing literature, for example, Gupta et al [8], Gupta et al [10], Jha et al [14], Jung and Choi [15] and Shen et al [31]. This is done to provide greater flexibility for treating different possible scenarios of input data uncertainty in the COTS selection problem.…”

“…4. Compared with fuzzy COTS products selection models, for example, Gupta et al [8], Gupta et al [10], Jha et al [14] and Shen et al [31], which encounter vagueness in the aspiration levels of the decision-maker regarding various selection criteria, the COTS products selection model under a fuzzy environment in this study deals with imprecision in the model parameters. Note that fuzzy models based on aspiration levels are formulated using some approximation of uncertain data, and hence, they do not capture uncertainty in the real sense.…”

“…Shen et al [31] presented a fuzzy optimization model for selecting the best COTS product. Gupta et al [8] developed fuzzy multiobjective optimization models to select optimal COTS software products using multiple methodologies, such as quality models, analytical hierarchy process and fuzzy mathematical programming. Gupta et al [9] proposed a fuzzy optimization model to select the best COTS product among the available alternatives for each module in the development of modular software systems.…”

A Fuzzy Approach for Component Selection amongst Different Versions of Alternatives for a Fault Tolerant Modular Software System under Recovery Block Scheme Incorporating Build-or-Buy Strategy

“…Today, similar to the developments in crisp optimization, different kinds of mathematical models have been proposed and many practical applications have been implemented by using the fuzzy set theory. Reference [10] formulated fuzzy multi objective optimization models for selecting the optimal COTS software products in the development of modular software system. Recently, Reference [11] de-velops a crisp multi-objective programming model from the fuzzy basic data.…”