Santoso Wibowo

Consensus-based decision support for multicriteria group decision making

Consensus decision making is complex and challenging in multicriteria group decision making due to the involvement of several decision makers, the presence of multiple, and often conflicting criteria, and the existence of subjectiveness and imprecision in the decision making process. To ensure effective decisions being made, the interest of all the decision makers usually represented by the degree of consensus in the decision making process has to be adequately considered. This paper presents a consensus-based approach for effectively solving the multicriteria group decision making problem. The subjectiveness and imprecision of the decision making process is adequately handled by using intuitionistic fuzzy numbers. An interactive algorithm is developed for consensus building in the group decision making process. A decision support system framework is presented for improving the effectiveness of the consensus building process. An example is presented for demonstrating the applicability of the proposed approach for solving the multicriteria group decision making problem in real world situations.

Intelligent decision support for effectively evaluating and selecting ships under uncertainty in marine transportation

This paper presents an intelligent decision support system for evaluating and selecting specific ships under uncertainty. A task-oriented procedure is developed for determining the relative importance of the evaluation and selection criteria with respect to a specific shipping task. A fuzzy multicriteria analysis algorithm is developed for determining the overall performance of each ship across all the selection criteria and their associated sub-criteria. An intelligent decision support system capable of integrating the developments above is proposed for facilitating the ship evaluation and selection process. An example is presented to demonstrate the effectiveness of the proposed intelligent decision support system.

Multi-criteria group decision making for evaluating the performance of e-waste recycling programs under uncertainty

This paper presents a multi-criteria group decision making approach for effectively evaluating the performance of e-waste recycling programs under uncertainty in an organization. Intuitionistic fuzzy numbers are used for adequately representing the subjective and imprecise assessments of the decision makers in evaluating the relative importance of evaluation criteria and the performance of individual e-waste recycling programs with respect to individual criteria in a given situation. An interactive fuzzy multi-criteria decision making algorithm is developed for facilitating consensus building in a group decision making environment to ensure that all the interest of individual decision makers have been appropriately considered in evaluating alternative e-waste recycling programs with respect to their corporate sustainability performance. The developed algorithm is then incorporated into a multi-criteria decision support system for making the overall performance evaluation process effectively and simple to use. Such a multi-criteria decision making system adequately provides organizations with a proactive mechanism for incorporating the concept of corporate sustainability into their regular planning decisions and business practices. An example is presented for demonstrating the applicability of the proposed approach in evaluating the performance of e-waste recycling programs in organizations.

Fuzzy Multicriteria Decision Support for Information Systems Project Selection

This paper presents a fuzzy multicriteria group decision making approach for selecting information systems projects. The inherent subjectiveness and imprecision of the selection process is modeled by using linguistic terms characterized by triangular fuzzy numbers. To avoid the complex and unreliable process of comparing fuzzy numbers usually required in fuzzy multicriteria analysis, a new algorithm is developed based on the degree of dominance and the degree of optimality concepts. A multicriteria decision support system is proposed to facilitate the evaluation and selection process. An information systems project selection problem is presented to demonstrate the effectiveness of the approach.

Interval-Valued Intuitionistic Fuzzy Multicriteria Group Decision Making Approach for Hotel Selection

Evaluating and selecting the most suitable hotel location for development is complex and challenging. To effectively deal with this problem, this paper presents an interval-valued intuitionistic fuzzy multicriteria group decision making approach for evaluating and selecting hotel locations. The subjectiveness and imprecision of the decision making process are adequately modeled by the use of interval-valued based intuitionistic fuzzy numbers. The concept of ideal solutions is adopted for determining the overall performance of each alternative hotel location across all the selection criteria on which the final decision is made. An example is presented for demonstrating the applicability of the proposed approach for solving real world hotel location selection problems.

A fuzzy rule-based approach for screening international distribution centres

In practical situations, a decision maker often has to deal with numerous alternatives in evaluating and selecting the most suitable international distribution centre (IDC) location for enhancing the organizational competitiveness. To improve the effectiveness of the decision making process, it is critical to reduce the number of alternatives through screening so that the decision maker can focus on the most attractive alternatives for further consideration. This paper presents a fuzzy rule-based approach to effectively screen decision alternatives in adequately solving the problem of evaluating and selecting IDC locations. Case-based reasoning with the use of fuzzy production rules is adopted to screen out unattractive alternatives based on past experience in a specific decision making situation. A decision support system based on the proposed approach is presented to improve the effectiveness of the screening process. An example is given to demonstrate the applicability of the proposed approach in improving the effectiveness of the decision making process in multicriteria decision making.

Multicriteria Group Decision Support for Information Systems Project Selection

This paper presents a fuzzy multicriteria group decision making approach for evaluating and selecting information systems projects. The inherent subjectiveness and imprecision of the evaluation process is modeled by using linguistic terms characterized by triangular fuzzy numbers. A new algorithm based on the concept of the degree of dominance is developed to avoid the complex and unreliable process of comparing fuzzy numbers usually required in fuzzy multicriteria decision making. A multicriteria decision support system is proposed to facilitate the evaluation and selection process. An information systems project selection problem is presented to demonstrate the effectiveness of the approach.

A consensus support system for supplier selection in group decision making

This paper presents a consensus support system for effectively solving the problem of selecting suppliers involving group decision makers. An algorithm is developed for facilitating consensus building in multi-criteria group decision making. A decision support system is proposed for incorporating the proposed consensus building algorithm for evaluating and selecting appropriate suppliers in a given situation. An example is presented for demonstrating the applicability of the proposed consensus support system for solving the problem of evaluating and selecting suppliers in real situations.

Performance evaluation of cloud computing providers using fuzzy multiattribute group decision making model

Cloud computing is a prospering model which provides superior information technology services through the introduction of flexible and on-demand services, but the adoption rates are low because of the poor level of performance provided by the cloud computing service providers. This paper formulates the performance evaluation of cloud computing providers as a multiattribute group decision making problem and presents a fuzzy multiattribute group decision making model for effectively handling the performance evaluation problem of cloud computing providers. The vagueness of the decision making process is dealt effectively with the use of interval-valued intuitionistic fuzzy numbers. A fuzzy multiattribute group decision making algorithm is developed for generating a closeness coefficient for every cloud computing provider alternative across all attributes. An example is presented that shows the fuzzy multiattribute group decision making model is simple to use and effective for dealing with the performance evaluation problem.

A New Sustainability Index for Evaluating the Sustainability Performance of Mining Companies

This paper develops a new sustainability index for evaluating the sustainability performance of mining companies. The index indicates a mining companys overall performance level, relative to other companies in terms of its sustainability performance. To facilitate the use of the index as a sustainability performance management tool, three most important criteria for measuring the sustainability-related performance of mining companies are identified. With the use of linguistic terms, subjective assessments of qualitative performance measures are represented with fuzzy numbers. Based on the concept of optimality, a fuzzy multicriteria decision making approach is developed to obtain a sustainability performance index for each company. This sustainability performance index helps mining companies to understand their strengths and weaknesses in terms of sustainability performance criteria, and identify relevant areas for sustainability improvement.