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Preface -- Contents -- 1 Introduction to Intelligence Techniques in Environmental Management -- Abstract -- 1.1 Introduction -- 1.2 Environmental Management -- 1.2.1 Carbon Management -- 1.2.2 Soil Degradation and Management -- 1.2.3 Disaster Response and Management -- 1.2.4 Solid Waste Management -- 1.2.5 Wastewater Management -- 1.2.6 Water Resources Management -- 1.2.7 Sustainable Transportation -- 1.2.8 Hazardous Waste Management -- 1.2.9 Air Quality Management -- 1.2.10 Energy Management -- 1.3 Intelligent Systems Classification -- 1.3.1 Particle Swarm Optimization

This e-book is concerned with decision-making and management applications. Articles are written by scholars in Turkey, Belgium, Australia, China and Malaysia, and cover data models, case studies and numerical analysis in logistics information technologies

Higher education refers to a level of education that is provided at academies, universities, colleges, seminaries, institutes of technology, and certain other collegiate-level institutions. Government investment policy should be concerned with the marginal rate of return when deciding on whether to increase their expenditure on higher education. Government investment in higher education is a decision making problem, which includes multiple and conflicting criteria. We use fuzzy analytic hierarchy process (AHP) to take these criteria into account and to handle vague and incomplete data. We also use fuzzy TOPSIS to compare the results of AHP. A case study for Turkey is realized. In this case study, our multi-criteria decision model evaluates three possible higher education investment alternatives. A sensitivity analysis based on different scenarios of experts' preferences is also given.

Higher education refers to a level of education that is provided at academies, universities, colleges, seminaries, institutes of technology, and certain other collegiate-level institutions. Government investment policy should be concerned with the marginal rate of return when deciding on whether to increase their expenditure on higher education. Government investment in higher education is a decision making problem, which includes multiple and conflicting criteria. We use fuzzy analytic hierarchy process (AHP) to take these criteria into account and to handle vague and incomplete data. We also use fuzzy TOPSIS to compare the results of AHP. A case study for Turkey is realized. In this case study, our multi-criteria decision model evaluates three possible higher education investment alternatives. A sensitivity analysis based on different scenarios of experts' preferences is also given.

PurposeThe purpose of this paper is to discuss the applicability of investment decision‐making techniques under fuzziness.Design/methodology/approachThe paper explains how fuzzy sets can be used in investment decision making.FindingsIt was found that any classical investment analysis technique can be converted easily to a fuzzy case.Originality/valueThe paper indicates the necessity for usage of the fuzzy set theory in case of incomplete information.

Covers -- Editorial review board -- Guest editorial -- An application of network data envelopment analysis with fuzzy data for the performance evaluation in cargo sector -- Prioritization of production strategies of a manufacturing plant by using an integrated intuitionistic fuzzy AHP & TOPSIS approach -- CNC router selection for SMEs in woodwork manufacturing using hesitant fuzzy AHP method -- Pythagorean fuzzy CODAS and its application to supplier selection in a manufacturing firm -- Augmented reality goggles selection by using neutrosophic MULTIMOORA method -- A risk analysis model for mining accidents using a fuzzy approach based on fault tree analysis -- An integrated fuzzy approach for classifying slow-moving items -- In-store behavioral analytics technology selection using fuzzy decision making

Purpose
The purpose of this paper is to propose a novel weighting algorithm for fuzzy information axiom (IA) and to apply it to the evaluation process of 3D printers.


Design/methodology/approach
As a decision-making tool, IA method is presented to evaluate the performance of any design. Then, weighted IA methods are investigated and a new weighting procedure is introduced to the literature. Then, the existing axiomatic design methods and the proposed new method are classified into two groups: weighting based on information content and weighting based on design ranges. The weighting based on information content approach consists of four methods including pessimistic and optimistic approaches. The philosophy of the weighting based on design ranges is to narrow design ranges in order to decrease fuzziness in the model. To prove the robustness and the performance of the proposed weighting method, the results are compared with the existing methods in the literature. Then, the new approach is applied to evaluate 3D printers.


Findings
The results of the proposed study show that the proposed weighting algorithm has better performance than the old ones for IA. Therefore, the proposed weighting algorithm should be used for the weighting tool of IA thereafter.


Originality/value
An effective weighting method compatible with the philosophy of IA method has been proposed. Furthermore, the performances of 3D printers are compared by using the proposed method.

PurposeAims at finding out the senior managers' perceptions about the extent to which the components of KM contribute to the success of SMEs (small and medium enterprises) in Turkey.Design/methodology/approachIn this paper, the current knowledge management practices in Turkish SMEs are searched through a survey. The survey is prepared depending on a basic model of knowledge management built by the author.FindingsThe results of the survey show that Turkish SMEs do not like to share knowledge even within the company. The managers are afraid of losing the control of knowledge. However, since they close the information channels, they also prevent the incoming knowledge.Originality/valueThis paper provides a basis for the research about knowledge management practices in SMEs in developing countries.

PurposeThis research aims to investigate the extent and pattern of information and communication technology (ICT) usage by women entrepreneurs in Malaysia, as well as the impact of personal traits on usage.Design/methodology/approachAll the members of the National Association of Women Entrepreneurs in Malaysia (NAWEM) were surveyed, out of which a 62 percent usable response rate was achieved.FindingsThe results of the analysis show that slightly above 50 percent of the respondents are using seven out of the eight varieties of systems presented. Seven out of the ten job tasks listed were done using computer technology by more than 60 percent of the respondents. A total of 78 percent of the respondents use basic systems and 48 percent use advanced systems. A total of 92 percent of respondents use systems for administrative purposes, 42 percent for planning, and 52 percent for control purposes. Mean usage differs among racial groups, educational levels, industry type, computer experience, and size of organization (measured by number of employees). Personal traits such as innovativeness and risk‐taking propensity are significantly correlated with usage.Originality/valueThe paper discusses the marketing and other implications of the findings as well as suggesting some marketing approaches.